Credits : Zdnet

Oracle has announced general availability of Java Development Kit (JDK) 14, its reference implementation of the Java 14 programming language spec.

Rolling out in line with Oracle’s six-monthly release schedule that began with Java 9 in 2017, JDK 14 includes enhancements that Oracle says will improve developer productivity. Java remains the world’s most popular programming language among developers. 

According to Georges Saab, Oracle vice president of development for the Java Platform, the faster six-monthly releases are helping developers adopt new features more rapidly due to regular expected changes. Java 9, for example, was released more than three years after Java 8.  

“Java 14 is further validation of the benefits of the six-month release cadence, giving developers access to features that they would otherwise be waiting years to get their hands on,” he said. 

This release contains the first wave of changes to come from Project Panama, an OpenJDK effort to improve connections between the Java virtual machine (JVM) and non-Java application programming interfaces used by C and C++ programmers. 

Reflecting the shift to more frequent but smaller releases, JDK 14 includes 16 JDK Enhancement Proposals (JEPs) compared with five JEPs in Java 13, eight JEPs in Java 12, and 17 in Java 11. Java 9, by contrast, included over 90 JEPs. 

Saab notes that major improvements in JDK 14 include a Foreign-Memory Access API enhancement (JEP 370), and improvements from Project Amber, another OpenJDK project, including Pattern Matching (JEP 305) and a preview of Records (JEP 359). 

Oracle JDK 14 will receive at least two quarterly updates in line with Oracle’s critical-patch update schedule before Java 15 is released in September 2020.   

Oracle is providing Java 14 as the Oracle OpenJDK release under an open-source GNU General Public License v2. It’s also released under a commercial license using Oracle JDK. 

Most of the nearly 2,000 fixes in JDK 14 have been made by Oracle employees while 528 came from individual developers and other organizations. Some of the main contributors included Red Hat, SAP, Google, Arm, Intel, and NTT Data. 

Java 14 is supported by three main integrated development environments, including JetBrains IDEA, Apache NetBeans, and Eclipse IDE. 

The 16 JEPs in JDK 14 include:

  • JEP 305 – Pattern Matching for instanceof (Preview)
  • JEP 343 – Packaging Tool (Incubator)
  • JEP 345 – NUMA-Aware Memory Allocation for G1
  • JEP 349 – JFR Event Streaming
  • JEP 352 – Non-Volatile Mapped Byte Buffers
  • JEP 358 – Helpful NullPointerExceptions
  • JEP 359 – Records (Preview)
  • JEP 361 – Switch Expressions
  • JEP 362 – Deprecate the Solaris and SPARC Ports
  • JEP 363 – Remove the Concurrent Mark Sweep (CMS) Garbage Collector 
  • JEP 364 – ZGC on macOS
  • JEP 365 – ZGC on Windows
  • JEP 366 – Deprecate the ParallelScavenge + SerialOld GC Combination
  • JEP 367 – Remove the Pack200 Tools and API
  • JEP 368 – Text Blocks (Second Preview)
  • JEP 370 – Foreign-Memory Access API (Incubator)

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Credits : Iotforall

Scaling Industrial IoT (IIoT) solutions requires a DevOps organization that can manage increased software and hardware complexity in terms of capability, capacity and footprint. DevOps is derived from Development and Operations and is one of the buzz words for ICT companies.

Often it is the amalgamation of Software Developers from R&D and senior engineers from Operations into a new organization. Startups are faced with the challenge of how to quickly create a functioning DevOps organization that can scale with rapid growth. In this article, we will deal with the keys for success to scale software solutions with using an example of an Industrial IoT solution. We will look at how DevOps should function and discuss the important principles for software development, tools and operations.

First, let’s consider what we are trying to achieve via DevOps. Why use it? The advantages of DevOps are usually a combination of the following:

  • Increase the frequency and quality of feature deployments
  • Increase the frequency and quality of deployments to customers
  • Improve solution quality
  • Reduce the severity and frequency of release failures
  • Improve troubleshooting and recovery capabilities

DevOps achieves this through close cooperation between the Development and Operation functions. This requires and “DevOps culture” that is supported by methods and tools to enable solutions to be created and operated efficiently as they scale.

Culture

Whether Devops is created as a new organization or from existing Development and Operations functions one of the first challenges to overcome is the organizational culture. The culture has to support the ability to produce, faster more reliable solutions that can keep pace with business needs. A key advantage of a DevOps approach is that SW development supports operational activities and vice versa. It is part of the Lean and Agile development methodologies and that implies a certain level of autonomy and speed to “get the job done”. Not all organizations have the experience to manage this autonomy and require support from all stakeholders. It is important to have a culture to guide but not impede agile development. The rotation of engineers between development and operational activities can be a useful tool for creating a DevOps culture but it isn’t restricted in engineers. A true DevOps approach includes development, operations, business owners, customers, and partners communicating and working together to achieve the business objectives.

Automation

Industry 4.0 relies on the use of data from devices and other sources to increase productivity, flexibility and efficiency. The ability to scale solutions without incurring prohibitive complexities and costs is achieved through the automation of industrial and manufacturing processes. However, it should not be limited to these. IoT software and services that are developed to automate the industrial process must be deployed and life cycle managed with maximum efficiency. The Development part of DevOps should consider the operational aspects of new features. The Operations part of DevOps must feed requirements to ensure maximum efficiency as they are best positioned to recommend efficiencies and improvements.

Let’s look at some of the tools and techniques used by DevOps for automation.

CI/CD Continuous Integration/Continuous Development

In order to improve the frequency and quality of deployments, DevOps requires a streamlined automated development process. This implies the use of tools that offer CI/CD Continuous Integration/Development. These accelerate deployment through (semi)automated development pipelines of Develop, Test, Integrate, Deploy, etc. There are numerous tools available such as Jenkins, Travis and GitLab that are cloud independent. Most cloud providers such as Google, Microsoft and AWS also offer complementary products to simplify CI/CD. These provide part of the solution but with the increase in agile development, there are further issues to be solved. Agile development models offer the possibility for Scrums teams to reprioritize work at short notice and this can lead to multiple teams working on the same software module. It can create conflicts and incompatibilities that Scrum masters should manage through the release strategy and schedule of activities in the release process. A release strategy with too many releases will make the management of sprints too complex and ultimately slow the development of new features.

Container Architecture

The majority of IoT solutions (and non-IoT) that are not using a serverless architecture will implement a container architecture with an orchestration manager on a virtualized layer. The software is designed with microservices involving one or more containers deployed on virtual machines. The advantages of this approach will be realized as services scale in terms of features, functionality or installed base.

Using a microservice architecture can be more complex to design but it can increase the ability to isolate and troubleshoot faults i.e. the rewards are reaped later in Operations. Microservices create smaller manageable software modules with clear interfaces that can simplify troubleshooting and allow more complex software to be allocated across multiple development teams. This is nothing new in software development, but the advantages increase with containerized software. Containers typically have multiple microservices that combine to create a complete software function. The container includes all the necessary libraries and dependencies for software to be run on different platforms. This reduces the need for migration or redesign as the footprint grows i.e. reduced complexity for deployment on different environments.

Orchestration

One difficulty with container architecture is that it can become complex for operations to manage as it scales. This has been solved by container orchestration tools, the most popular being Kubernetes. Orchestration management has been further extended with tools such as OpenShift and Docker Swarm or cloud-based tools such as Anthos, EKS or AKS. Many of these tools sit on top of Kubernetes and reduce further the complexity of managing the virtualization layer.

Kubernetes is built for the desired state architecture. This means that the desired state of the system is defined and this is maintained by the orchestration control function. It automates many of the activities carried out by operations staff. The advantages include automated fault recovery, reduced scaling complexity, improved redundancy and increased security as highlighted in the example below.

Let’s take the example of a factory with multiple production lines that plans to automate and transform into Industry 4.0 solutions. They wish to extract the data at various points in the production process to be used by multiple departments and users. The objective is to increase throughput, quality and reduce costs. The software required for this has the functionality as illustrated below.

The robots assemble components, that are configured/calibrated to work together, and they are tested before the final output. This isn’t a very complex scenario, but it is key to understand how this is managed when scale is required. Managing for a few manufacturing lines is not complex but scaling across factories and countries requires advanced automation that can be provided through virtualization, containers and orchestration.

Automated Redundancy

If Container 3 fails due to a hanging process or a communication issue, then operations would be required to perform a manual intervention to restore the service. In a virtualized environment with an Orchestrator, the fault would be detected, and the control plane would start the Container 3 process on another VM, for example, VM2. This is an example of automated redundancy or failover for the solution.

Automated Load Balancing

Take the example off Container 2 on VM2 with buffer congestion that is impacting performance. We would expect operations to manually move processes and load to another VM to maintain performance in line with KPIs. If a container orchestrator is available, it can detect the performance issue and automatically move part of the load to another VM. This reduces the manual workload of operations and facilitates scaling.

Automated Fault Management

If a process in Container 1 hangs the traditional approach would have required that an operator logs into the machine to manually restart the process and recover the service. If an orchestration manager is available, it will automatically start the process on another container. This ensures production continues while the fault is investigated and corrected.

Security

Creating containers with clustering enables software processes and hardware to be isolated offering opportunities for increased security. Security measures can be introduced between the clusters via the orchestrator to harden the security from a hardware and software perspective.

Automated Scaling

Introducing new assembly lines normally requires the deployment of the software stack but that now can be handled by the orchestrator. Updating the required state of the control function to increase the number of assembly lines required will trigger a new deployment of a container. The complexity of this activity has been reduced by offering operations the ability to define how many container instances are required and the orchestrator control function looks after the rest.

Automated Software Releases

To release new software the orchestrator can be updated to specify the newly required system state e.g. SW Release 4.2 instead of 4. The controller detects the system requires an update and schedules the activity. Traditionally Operations would have been required to deploy new versions of software and then redeploy the containers. Now, this process can be automated by the orchestrator.

Autonomy

The architecture above still implies a single point of failure with the Orchestration controller but there are solutions for this. In general, if the controller fails the processes running in the other VMs should not be impacted. However, features such as redundancy would not become unavailable, but the service will continue functioning as defined.

Scaling Strategy

A combination of the tools and processes described above will be fundamental for scaling Industrial IoT Solutions. Implementing DevOps that uses virtualization and orchestration functionality can be part of the solution. However, it introduces organizational and software development complexities and is not for all solutions and organizations. It may not be advisable not to adopt this strategy early in the life cycle of software development with a new DevOps organization. However, it should be possible to design solutions that can have a relatively painless migration when scaling is required.

Well-designed software will be modular, layered and if it has some form of virtualization then the migration shouldn’t be complex.

Successful DevOps organizations will have clear but evolving methods and tools that support a DevOps culture to facilitate scaling.

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Credits : Thenextweb

You can embark on a path to a lucrative new career with the training in The Complete Introduction to Software Engineering Bundle.

From transportation to commerce to hospitality, entire industries in the U.S. and abroad are all suffering deep across-the-board losses in the wake of COVID-19 aftereffects.

While many industries face uncertain futures, software development and engineering isn’t likely to be one of them. Technology and the web is more vital now than ever, with software already supporting one in every 10 American jobs. With the average software developer making $114,000 a year —more than twice the annual U.S. salary for all jobs — it’s definitely a career worth exploring for anyone looking to transition into a new line of work.

You can get the broad overview training needed to break into this lucrative field with the instruction in The Complete Introduction to Software Engineering Bundle. It’s on sale now from TNW Deals for just $59.99, hundreds of dollars off the regular price.

This package of 13 beginner-level courses can help anyone with designs on a software career get started. 

First, a handful of bedrock courses start exploring core engineering areas, including then fundamentals of web design and electronics.

Of course, no programmer is truly ready to create without a wealth of coding language knowledge — and this bundle features no less than six courses each focused on a different programming discipline. 

The instruction on uber-popular languages like Java and Ruby work nicely with deep delving into more fringe coding frameworks like Perl, Rust and Lua, allowing students to more clearly see where each can best be used throughout the development process. Meanwhile, training in the use of NodeJS and AngularJS helps expand the possibilities for using old-school languages like JavaScript and HTML in new dynamic ways.

With app creation at the heart of modern-day web development, there are also a pair of courses in using creation environments like PhoneGap and React Native to offer speed and versatility to your app builds.

You can pick up all this software engineering know-how and work toward a six-figure salary with this training for over 90 percent off, just $59.99 while this offer lasts.

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Credits : Toolbox

The updated Java Development Kit (JDK) offers new functionality, including two new widely awaited sample functionality, such as Pattern Matching (JEP 305) and Records (JEP 359), and the second sample of Text Blocks (JEP 368).

Oracle recently revealed Java 14 (Oracle JDK 14) as being now generally available. Java 14 maintains Oracle’s commitment to speeding up innovation by delivering new features every six months to businesses and the developer community with a new feature update.

In addition, the latest Java release introduces Java language support for swapping expressions, exposes new APIs for continuous monitoring of JDK Flight Recorder data, extends the availability of the low latency Z Garbage Collector to macOS and Windows, and introduces the packaging of self-contained Java applications in incubator modules and a new International Memory Access API for secure, efficient memory access.

The Java 14 launch is the outcome of industry-wide development, including open review, weekly builds, and comprehensive cooperation through the OpenJDK Network and the Java Network Process between Oracle engineers and members of the worldwide Java developer community. The new features Java 14 provides include JEP 305, JEP 345, JEP 349, JEP 352, JEP 358, JEP 359, JEP 361, JEP 364, JEP 368, JEP 370.

Oracle also provides the Oracle Java SE Subscription, a low cost and reliable service solution for consumers and companies looking for commercial service.

This service is presently being used by thousands of large and small global companies requesting the Java SE license, and robust support for the systems they need, and only for as long as they need it.

Java remains the # 1 programming language that software developers prefer. As the timely delivery of innovations with Java 14 shows, the Java platform continues to power modern application creation through careful planning and ecosystem participation.

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Credits : Jaxenter

As the 2010s came to a close, the red-hot software development and engineering sector left little doubt about one thing: software is still king. After all, there’s virtually no part of our hyper-connected world that could work without it. As we kick off the 2020s, there’s little chance that’s going to change.

The only difference is likely to be in which kinds of software development are in the most demand. That will be shaped mostly by the developing technologies that will require the most new code, as well as by industries that are demanding next-generation digital tools. For software developers out there that are wondering what their work’s going to look like for the next decade, here’s a look at three areas of software development that will stay hot or take off through the 2020s.

Multi-cloud management and operations

Now that the vast majority of major businesses (and small businesses, too) have made the jump into cloud services, the next evolution waiting to happen is a shift to multi-cloud infrastructure as default business strategy. We’ve already seen evidence of it happening in the last few years, as companies have started to expand into using multiple cloud providers as a means of adding fault tolerance and preventing vendor lock-in.

Building the tools to manage those multi-cloud deployments will be a prime occupation for software developers and engineers in the 2020s. They’ll also be called to develop cloud-agnostic solutions that will allow for seamless shifting of applications and business processes between the different cloud providers. At this stage, that kind of approach is still limited to businesses with massive amounts of resourced to devote to the task, but it’s not going to remain that way for much longer.

Social media data harvesting and marketing automation

One of the biggest takeaways from the 2010s was the fact that social media has now cemented its role as both the default global communications medium as well as becoming the modern town square. The fact that the various social media platforms now reach into the lives of the vast majority of the world’s digital citizens means that they’re now integral to business data operations and marketing strategies. That means software developers are going to have to keep on building tools and solutions for businesses to make the best use of what social media has to offer.

Already, the demand for automation and analysis tools within the social media marketing discipline alone is enough for a software developer to build a thriving career with little else. That means that developers who school themselves on the specifics and usages of the major social media APIs could parlay that knowledge into more work than they’d ever have time to tackle – and as the 2020s wear on, the demand in this area will only continue to grow.

Progressive Web App development

As smartphones and tablets became the dominant internet-connected devices in the last decade, a thriving (and lucrative) app economy sprung up in their wake. In the 2020s, much of that ecosystem is going to be replaced by progressive web apps. The cross-platform appeal of building a single web interface to service multiple device types is going to power an explosion of new development in the new decade, upending the current app market.

Developers that get involved with the trend early could find themselves reaping the rewards of a wave that could mimic the frenzy of development that came with the initial rise of smartphones. Any developer that was around for that will remember it as a time of unlimited opportunity – a new frontier for talented and innovative coders. The shift to progressive web apps will be an opportunity that’s similar in scale throughout the 2020s, giving developers a new canvas to work on and a chance to break new ground with software solutions that were impossible with previous-generation approaches. Exciting stuff, indeed.

Opportunity abounds

Although the three areas of development mentioned here are all but certain to stay hot in the new decade, they’re by no means alone. The rapid coming deployment of 5G wireless technology and IoT devices meant to take advantage of it are also going to open new possibilities for developers. Things like real-time portable augmented reality systems will go from novel concepts to real-world staples, automated vehicle systems will multiply tenfold, and new connected device systems will spur an automation wave like none before it. Everywhere you look, the 2020s are going to be an exciting time for developers of all stripes, and the best among them will have their pick of cutting edge projects to work on. I know I’m looking forward to it, are you? Be the first to share this article with your network!

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Credits : Venturebeat

AI-assisted software development saves time and reduces errors, according to one company that has introduced a low-code visual platform for building customer enterprise software. “Something that took [developers] … five minutes, now they can achieve in 15 seconds,” says Antonio Alegria, head of AI at OutSystems. “And curiously, we’ve seen developers saying … that it’s actually helped them with repetitive strain injuries.”

In the latest episode of The AI Show, we talk to Alegria about smart systems helping developers write software. OutSystems’ low-code platform uses hybrid AI, combining probabilistic deep learning algorithms with configurable hard-coded constraints to predict what developers need next and present that visually.

Trained on “over 15 million instances of code patterns,” the software apparently helps developers reduce cognitive load and focus more on what they want to build, rather than how to specifically actualize it. And if they have to type less, they can reduce repetitive strain on their wrists, elbows, and fingers.

“In many cases where the algorithms have learned specific patterns, you almost can just go, ‘Okay, next, next, next, next, next,’” Alegria says. “It’s very powerful.”

To build the platform, OutSystems makes extensive use of graph neural networks and technologies like TensorFlow. But this isn’t an integrated development environment that you can plug multiple programming languages into: It’s a proprietary system for building business applications, which limits its applicability.

And there are additional challenges, because presenting the next best option to developers isn’t always easy. “What we found is that sometimes we have the AI capability to do the right predictions with high accuracy, but it’s not always easy to find the best user experience to expose this,” says Alegria.

Subscribe to The AI Show on your favorite podcasting platform to get the full story:

  • Apple
  • Google
  • Spotify
  • Others here

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Credits : Securityboulevard

The demand for highly skilled software developers has been growing fast for years but shows no signs of stopping. Experts expect the market for software developers to grow 21% over the next 10 years, much higher than the average demand for other occupations.

While job opportunities may be easier to come by, software engineering is a competitive field where differentiation is becoming more critical. Developers today can choose to focus on a wide variety of languages and platforms, career trajectories, and ways to contribute uniquely to their teams (or stand out from competing applicants). So how do you determine where to invest your time and energy? Here are three ways you can improve your software development skills, broaden your knowledge, and decide what to specialize in:

No one has time to achieve proficiency across every language and framework. Of course, you might want to boost your skills in a couple of new software development technologies. But don’t forget to look at the big development picture: process management, workflows, project management, tooling, team culture, communication, and so on. Identify a few areas that are meaningful to you right now, and set some small goals. Here are some ideas:

  • Subscribe to one new resource, such as a blog, magazine, or industry news site, and read it frequently to stay up to date on trends and other resources.
  • Find one live class, course, or webinar to join in the next two weeks.
  • Check out more resources for learning a new language, framework, or technology. According to the annual Stack Overflow Development Survey, the top-paying technologies in the world right now are Clojure, F#, Go, Scala, and Elixir. In the U.S., that list includes Scala, Clojure, Go, Erlang, and Objective-C.
  • Knowing what you don’t know—and what you need to know for personal and career growth—will help you focus on the areas that matter the most beyond language and framework knowledge.

As a developer, you’re a deep well of unique, specialized knowledge you’ve acquired from your formal education, all the learning opportunities you’ve taken advantage of, and a career full of analytical problem solving (and not a small amount of trial and error). Why not tap into the unique, specialized knowledge of your peers? Collaboration is a great way to learn from other software developers and diversify the ways you accomplish tasks.

Pair programming is an excellent way to improve software development skills, but it’s not always practical. Luckily, there are dozens of collaboration tools available, from Slack to Stack Overflow. Many of these products let you get solicit feedback while you’re in the middle of a project or tackling a particularly tough problem.

Many developers don’t see security as a skill, but it is. If you do it well, coding securely allows you to write code faster and prevents you from having to scramble to make last-minute changes (or worse, release a codebase that’s easy to break into).

The demand for secure software development skills keeps growing. Learning these skills is an easy way to set yourself apart in a competitive job market. Kaspersky Lab’s 2019 IT Security Economics Report noted 66% of both large and small companies were planning to increase their investments in specialist IT staff over the next year.

The reason: Investing in security pays off. The survey found that having an internal security operations center cut the financial impact of a data breach nearly in half ($675,000 as opposed to $1.4 million). Developers who can help prevent these kinds of incidents are inherently valuable to any software development organization that deals with data, not just those in traditionally risk-averse industries such as healthcare and finance. Here’s how to get started:

Study success stories

Every company everywhere struggles with security. Why reinvent the wheel when expert guidance is already available? The Building Security In Maturity Model (BSIMM) is a helpful tool to learn more about software security. The BSIMM describes over a hundred software security activities practiced by real-world development organizations. Download it for free and get inspired to work on the software development skills that have the most impact.

Know your stack

Software developers know that no technology is free from security problems. Open source software is a great example. Even though an open source project might have thousands of eyes on it, new threats in popular open source components are discovered every day. Take an inventory of your stack and learn more about the risks inherent to each framework, language, third-party service, and open source component.

Incorporate security into your definition of ‘done’

Writing use cases is part of your daily process. So why not incorporate the practice of writing abuse cases? Train your brain to start thinking like an attacker. Ask yourself questions like “Why would someone want to exploit my code?” and “How would they go about breaking in?” Put your hacker hat on and start building security into your applications.

Consider security tools to add to your development process

Code reviews are great but can be infrequent and inconsistent. Instead, look for a tool that automates code reviews, surfaces open source issues, and integrates with your build process. Even better, find an IDE plugin for secure development. You’ll save hours of triaging and learn how to fix a huge number of issues before they leave your desktop. And as you know, learning by doing is the best way to boost your software development skills, hands down.

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Credits : Sdtimes

Did you know there are at least 60 defined software development methodologies that have come out over the past five decades? The various options boggle the mind. Waterfall, lean, and agile are some of the best known, but there are so many more, including Dynamic Systems Development Method (DSDM) and Test-Driven Development (TDD), as well as at least 30 hybrid options. Some have fallen out of favor, and even with all those that have evolved, new ones are also being conceived, such as Behavior-Driven Development (BDD).

Do there really need to be so many to choose from? How do you determine which one to use for designing your software? The short answer is: it depends. In fact, there is no single development methodology that will work for every software project. Some are better suited for smaller teams or applications, while others are ideal for specific industries due to regulatory requirements. For a comparison of many development methodologies using consistent metrics, refer to Capers Jones’ excellent book, Software Methodologies: A Quantitative Guide.

Regardless of which one you choose, there are some essential components or activities that apply to all the methodologies. These include (but are not limited to):

  •   Documentation of user requirements
  •   Estimates for development cost and schedule
  •   Goals and metrics for quality and risk
  •   Controls for change and configuration management
  •   Development of test strategy and test cases

For example, you need the ability to measure both productivity and quality with useful metrics such as Function Points. It is important to establish an appropriate measurement method with consistent counting mechanisms for projects, so that you can have confidence in the values and correlate them across projects. You should only track metrics that add value to your process.

You should also strive to leverage reusable components to streamline and optimize the development and test flows. Most software development is not about creating new and unique applications, but instead is replacing, modifying, interacting with, or enhancing legacy software. If you can identify common features used by your applications, you can cut down on the total development and test time if you can reference existing requirements or code modules for another project.

Another key consideration is how the software testing process ties into the development workflow. The transition to software development methodologies such as DevOps and agile has made implementing a corresponding testing methodology a higher priority. You can reduce the number of defects and improve the software quality when you implement an effective testing strategy and shift left the application testing to start earlier in the development cycle. It takes a conscious effort to make software testing a strategic component of your development workflow, and a strong commitment to do it more effectively with automation.

Beyond the basic functionality of the code, you have to ensure that the application interacts correctly through the user interface (UI) and application programming interfaces (APIs). Manual testing simply cannot cover all the use cases with sufficient thoroughness or speed. It is much more efficient to handle the challenges of API and UI testing with automated tools that reduce the time, effort, and cost of delivering high-quality software.

An automated testing plan also helps to reduce the costs of maintaining the software and its testing process. Test automation enables a stronger focus on quality at speed. The top expense of software development is the cost of finding and fixing bugs, so enabling automation earlier in the development life cycle can significantly reduce the cost impact and improve defect removal efficiency (DRE). Fewer defects directly translate to higher quality code and applications, in support of the defined goals and metrics.

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Credits : Analyticsindiamag

Software developers already constitute the largest group of remote workers in the world. Given the current COVID-19 situation, more developers are likely to shift to a similar arrangement. But, why are developers leading the course of this fluid workforce?

In a survey, some 73% of technology professionals revealed that they think of remote work as an essential perk. Programming requires high levels of concentration and focus since it involves working on complex algorithms and mathematical software. Open offices may be too noisy and full of interruptions. Hence, given a choice between a public office and a quiet home, the latter is mostly preferred.

Developers Worked Towards ‘Work From Home’ Long Ago

Innovations were in place that could enable developers to track anyone from any part of the world with a simple click of a button. Processes that were once done through meeting clients in person were now accomplished on online systems that only require participants to log in.

When people realized that a well-paying job could be done at home with the help of the internet, developers started making codes more straightforward for regular people to understand. 

It is also worth highlighting the agile development practices, and the benefits of co-location.

Most agile enthusiasts will tell you that it is better if the team is co-located. This is true to the extent that given an ideal organization, you will probably get better output out of them if they are co-located rather than working remotely. But sometimes, to get that perfect team, you need to provide conditions that they are happy with. If software developers are not happy travelling three hours every day, then you might need to live with the ideal team where some or all of the team members are operating remotely. 

Developers Still Need To Make Sure There Is Effective Communication With The Management

It is evident that not all tech experts require remote work, even though most companies seem to be offering that amid the COVID-19 pandemic. It also places more expectations on managers and executives to create a workspace where programmers can work without too many interruptions and distractions. For example, it is increasingly becoming clear that many developers dislike open offices, and prefer to operate in comparative isolation, at least when they want to concentrate. 

For managers, this is also a problem of communication. Rather than implementing top-down strategies that might upset developers’ flow, it might be better to talk to them about their preferred ways of working—whether that is at a desk, or a cafe. Just listening and coordinating with developers can guarantee the best product as it is a critical job role which does not require a lot of micromanagement.

In the short-term, conferencing technology companies are enabling alternatives. Companies like Zoom, Webex, and other teleconferencing and remote working solutions are being used extensively by organizations.

Handling CyberSecurity Better Than The Average Employee

There are other factors as well that come into play. Programming usually does not involve face-to-face problem discussion all the time. If need be, there is video chat as well as virtualization tools like Slack and Trello. These tools are user-friendly and tailor-made for remote workers, particularly developers. The built-in integrations and APIs can be leveraged by developers to customize virtualization tools to their most optimum use. Also, work from home, when it comes to developers, is more efficient in the context of cybersecurity as well. 

Compared to an average company employee, developers and IT teams can follow cybersecurity protocols from any remote location, and make sure they detect vulnerabilities in the workflow without a lot of help. In the case of other departments like sales, marketing, and finance, the employees can face great difficulty and ignorance to maintain the best security principles.

In many cases, everyday office workers face challenges in setting up two-factor authentication services, let alone debug a cybersecurity software tool. This translates into more trust as well as freedom put into the hands of developers when it comes to handling sensitive data and security protocols.

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Credits : Digit

Truecaller today announced the launch of version 2.0 of its Software Development Kit (SDK) for Android developers .

Truecaller today announced the launch of version 2.0 of its Software Development Kit (SDK) for Android developers. Using Truecaller SDK 2.0, developers and start-ups will now be able to offer seamless phone number verification services on their Android apps for non-Truecaller app users also via missed call functionality to their devices. This is in addition to already existing functionality of SDK where developers can instantly verify users with their Truecaller credentials on their apps. The latest version will eliminate the hassle of generating OTP through SMS, which is typically a source of inconvenience for both developers as well as their app users. Developers can access the latest version SDK 2.0 from Truecaller’s global developer portal.

Most of the new apps and services being built for emerging markets are moving fast towards mobile numbers as a key identifier in their user journeys. Using Truecaller’s SDK 2.0, the app developer can easily verify the mobile number, which allows for a faster, smoother and enhanced app onboarding experience for the user.

Commenting on this latest update, Priyam Bose, Global Head of Developer Platform & Relations at Truecaller, said “At Truecaller, we are focused on providing a frictionless experience to users and 3rd party app developer partners alike. With Truecaller SDK 2.0 roll out, it will enable android app developers  to verify all their app users in a seamless and trusted manner via phone number as the identifier – as a result achieving higher verification and growth rates for their apps. We are rolling out this version of the SDK starting with India. In future, we would explore extending this to other markets globally.’’

Until now, Truecaller SDK only allowed developers globally to verify phone number based identities for existing and registered Truecaller users on 3rd party apps, using their Truecaller account credentials in 1-tap, instant and consent based flow. The latest version of the SDK will now enable them to additionally verify non-Truecaller app users also seamlessly using a missed call. This process doesn’t incur any verification costs, as the verification services provided by Truecaller SDK are free for all app developers. Missed call based verification is known to deliver better conversion and success rates as compared to the traditional SMS based OTPs.

Some of the leading Indian startups, who had early access to the SDK, shared their thoughts on the integration:

Rishikesh SR, co-founder, Rapido said, “No mobile identity toolkit is simpler than Truecaller SDK. It was quick to set up and we could go live within a day. We observed that it helped us in reducing user drop-offs and increasing our install-to-signup ratio by over 12%, thus positively impacting our overall ride bookings. With the mass scale that Truecaller has, I strongly recommend using Truecaller SDK to every mobile-first company out there.”

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