Credits : Theinquirer

Kotlin, a language first released eight years ago to provide an interoperative platform with Javascript in a neater package was added to Android Studio IDE just two years ago, and after a close-run battle with Apple’s Swift, it has become a firm favourite with developers.

Although Java has long been the preferred language for Android apps, the news isn’t a complete surprise, given Google’s long-running legal dispute with Java’s patron, Oracle.

According to TechCrunch, delegates were told: “We’re announcing that the next big step that we’re taking is that we’re going Kotlin-first,”

Chet Haase, chief advocate for Android, added: “We understand that not everybody is on Kotlin right now, but we believe that you should get there,” Haase said. “There may be valid reasons for you to still be using the C++ and Java programming languages and that’s totally fine. These are not going away.”

Explaining what that means in real terms, Google’s written announcement explains: “Many new Jetpack APIs and features will be offered first in Kotlin. If you’re starting a new project, you should write it in Kotlin; code written in Kotlin often mean much less code for you-less code to type, test, and maintain.”

The ‘Jetpack’ in question is Jetpack Compose, a new open source UI toolkit for Kotlin, which uses a reactive programming model, akin to React Native or Vue.js.

There are different components and plugins available for everything from Android Auto to Wear OS and all points in-between. There’s CameraX, which is specifically aimed at camera related developments – which could also come in useful for augmented reality (AR) projects. There’s also a range of security-focused plug-ins for enterprise development.

Kotlin now sits at number 4 in Stack Overflow’s list of programming languages preferred by developers, and powers development in over half of actively developed Android apps (says Google).

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Credits : Techrepublic

Microsoft has moved to clear up the confusion sparked by its reveal of the Windows Terminal application for Windows 10.

Since the announcement, Microsoft program manager Kayla Cinnamon says the company has been repeatedly asked whether the new terminal app for command-line programs will replace Windows Command Prompt or Microsoft’s PowerShell command-line shell.

Cinnamon clarifies that the Windows Terminal provides a text terminal for connecting to system shells such as PowerShell and Command Prompt. As such, Windows Terminal isn’t a replacement for either shell, but a tool designed to be used with them.

The Windows Terminal is being built to offer many advantages over the existing Windows Console when connecting to system shells.

Windows Terminal will support multiple tabs and be able to connect to a wide range of shells, including Command Prompt, PowerShell Core, Ubuntu, openSUSE, Debian, a Raspberry Pi via SSH, and more.

It will also be highly customizable, with support for background transparency and blur, different colors, themes and styles, mousewheel zoom, and a plethora of keyboard shortcuts.

Its advantages over Windows Console have led Microsoft to also be asked whether PowerShell will replace Windows Console.

Again, Microsoft’s Cinnamon says the answer is ‘no’.

“Windows Console will continue to ship within Windows for decades to come in order to ensure backward compatibility with the many millions of existing/legacy command-line scripts, apps, and tools,” she writes in a blog post, adding Windows Console will run alongside Windows Terminal.

Developers can try out Windows Terminal by building the application from source code available via GitHub.

However, Microsoft has said the application is currently in a very early alpha stage, with many features still to be added.

Microsoft will release Windows Terminal as a Microsoft Store app, and is aiming to release a preview version of Windows Terminal by Summer 2019 and a full version by Winter 2019.

If you’re a PowerShell user check out TechRepublic’s guide to 10 useful PowerShell commands, as well as this follow up article.

In other developer news, Microsoft made a series of announcements to coincide with the KubeCon event taking place in Barcelona. KubeCon centers around Kubernetes, the open-source software for deploying and managing containers.

Microsoft revealed the alpha release of Helm 3 package manager for Kubernetes, the 1.0 release of the Kubernetes extension for the VS Code editor, the 1.0 release of the Virtual Kubelet project for simplifying the process of using Kubernetes with public cloud services such as Azure Container Instances, and the launch of the Service Mesh Interface, which defines a set of common APIs that offer interoperability across different mesh service technologies.

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Software development is a crucial process in any organization. It is because the software is the core of every business and helps the organization put other resources in use effectively. Thus, organizations are very peculiar about the software development project and ensure that there are no stones unturned in order to get quality output in speculated time.

However, there is a time when the planning goes wrong and software is not developed as decided in the first place. If facts are to be believed there are around 70% software development projects failure across the globe. Hence, organizations make sure to take all necessary steps before getting started with actual software development. They need to be sure of specifics, details, and the designing of the software development project.

Software development is a crucial process in any organization. It is because the software is the core of every business and helps the organization put other resources in use effectively. Thus, organizations are very peculiar about the software development project and ensure that there are no stones unturned in order to get quality output in speculated time.

However, there is a time when the planning goes wrong and software is not developed as decided in the first place. If facts are to be believed there are around 70% software development projects failure across the globe. Hence, organizations make sure to take all necessary steps before getting started with actual software development. They need to be sure of specifics, details, and the designing of the software development project.

Questions to Ask to Your Software Development Company Before Starting the Development Project
Hence, enterprises need to ask 7 basic questions to software development companies if they are planning to get it outsourced so as to ensure that they are on the right path and the project would come out as detail-oriented as possible. What are those questions? Let’s check it out.

  1. What is the Development Process that’s Followed?
    Every software or custom app development company has a development process that they follow which starts from planning and ends to delivery and maintenance. While this is the usual protocol being followed, there might be some other overall process that the company follows. You need to be sure of their development process to realize and understand their effectiveness of software development. Few things you can highlight are:

a) Team of software developers
b) Internal communication amongst team
c) Team experience
d) Dedicated team for different sections and more

  1. What would be the List of Actual Deliverables?
    An entire software development project consists of many differentiated deliverables like website, design, program, codes, and etc. Each has its own importance and is somehow interrelated that once combines uplifts the use of a software project. An enterprise needs to discuss with software development company about the deliverables. Expecting more could add the costing and thus business need to be sure of the deliverables that they actually require to function and operate the business easily.
  2. What Elements would be Non-Deliverable?
    Like discussing the deliverable elements, enterprises also need to discuss the elements that are not required and can be marked as non-deliverables. This is an important question and points to be discussed as the project itself is an amalgamation of multiple elements and not every time all the elements are required by the business. So, while you have discussed and decided your requirements and deliverables with the team, it’s also necessary to jot down elements that are not required. This saves the time of software development company who are taking your project and yours as well.
  3. What is the Deadline?
    Another question that needs to be discussed between both the parties is the deadline. Both business and software development company need to be transparent about the delivery deadline. This pushes the team to finish the work in stipulated time and the business to act and plan the launch of the project accordingly. Any miss or delay in delivering the project need to be clearly communicated well in time so that backend plan can be incorporated.
  4. Is Team Technology Familiar?
    Before handing over the project to the software development company, another important question to ask is if the team going to handle your project is technology familiar or not. It’s essentially required if the business wants the project to be curated and developed using a specific technology only. If the developers are not familiar with the technology or have basic knowledge and experience of the same, then the business should step back and search for the right partner to collaborate with.
  5. What Quality Process do Development Company Follow?
    There is no use of assigning your project to the development company if they don’t follow any protocol to assure and measure quality. The quality check ensures that the project is tested internally, good to perform and ready to launch to end users. Quality testing can be achieved through:

a) Unit testing
b) Manual testing
c) End to end testing
d) Integration testing

  1. What is the Deployment & Maintenance Strategy?
    Last but not least, software development project all comes down to its deployment and maintenance post-project delivery. The business should make it clear from the development company if they will be supporting them with deploying the software in their system and assuring maintenance once the project is delivered. This is an essential part not to be missed as it decides the future of the project performing exceptionally in the business system.


Wrapping up, software development or custom app development is the requirement of every business today. Without technological advancement in business, there is no future of business. And this push businesses to rely on software development company to amalgamate their internal process with software for automotive operations. Before finalizing the software development team, the business should do a background check and measure the company so that it fulfills the organizational need for business growth.

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Java developers and the blockchain, is it a match? Java programmers interested in developing smart contracts have a new tool on the horizon.

The BloxBean project launched Aion4j, a set of dev tools and frameworks for building smart contracts on the Aion Virtual Machine. Currently in its conceptual stage, it presents several goals on its roadmap. Let’s take a look at its proposed goals, what it includes, and what potential problems it solves.

Proposed goals

According to the GitHub repo, the following lists the proposed goals for Aion4j’s lifespan:

  • A set of developer tools and frameworks to help smart contract development on the Aion Platform. The idea is to leverage on the existing tools (IDE, Frameworks etc.) in the Java ecosystem.
  • Abstract all the complexities of blockchain interaction from a Java application and provide a POJO / Interface based programming model.
  • Enable Java developers with familiar tools to iterate faster during development with a relatively smaller learning curve. (Through an embedded FastVM runtime and libraries)
  • Help developers to develop with their existing Java development tools.

These goals aim to make it easier for mainstream Java developers learning how to develop smart contracts by using skills and language knowledge they already have. It introduces concepts and provides the necessary development tools for a streamlined, productive process.

By the latest Oracle estimate, Java runs on 3 billion devices and the TIOBE index lists it as the number one most used programming language. This shows that Java knowledge is common, and tools for making Java blockchains easier may lower the bar necessary for entry.

The Aion Foundation release announcement also notes that: “By supporting Java, AVM has already opened the possibilities of using established development tools in the Java ecosystem instead of re-inventing the wheel.

Read more about the Aion VM in their docs here. It runs Java bytecode on the blockchain.

Maven plugin

The Aion4j Maven plugin for AVM provides end to end tooling support for building smart contracts.

According to the Aion network’s launch announcement, key features found in this plug-in include:

  • Maven-based AVM project creation
  • Compile & package
  • Unit test
  • Deploy, test, and debug on embedded AVM or Nodesmith during development
  • Test and deploy on remote Aion Kernel
  • Use Maven commands to interact with the Aion blockchain
  • Client side transaction signing

Find the GitHub repo here. Follow and keep up with the in-progress goals.

IDEA/IntelliJ Plugin

Aion4j provides a plugin for smart contract support inside the IntelliJ IDE.

This provides an embedded AVM execution environment inside of the IDE. Users can test and deploy their smart contracts inside of the IDE during development. The IntelliJ plugin contains features that developers will need to write their smart contracts, so that they will not need to go outside of the IDE during development.

Because of this, no other software is necessary for writing and testing smart contracts.

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Credits : Dataconom

In my previous  article, I  talked about model governance and holistic model management. I received great response, along with some questions about the differences between Data Science and Software Development  workflow. As a response, this piece highlights the key differences in processes, tools and behavior between Data Science and software engineering teams, as well as best practices we’ve learned from years of serving successful model driven enterprises. 

Why Understanding the Key Differences Between Data Science  and Software Development Matters

As Data Science  becomes a critical value driver for organizations of all sizes, business leaders who depend on both Data Science  and Software Development teams need to know how the two differ and how they should work together. Although there are lots of similarities across Software Development  and Data Science , they also have three main differences: processes, tooling and behavior. In practice, IT teams are typically responsible for enabling Data Science team with infrastructure and tools. Because Data Science  looks similar to Software Development (they both involve writing code, right?), many IT leaders with the best intentions approach this problem with misguided assumptions, and ultimately undermine the Data Science teams they are trying to support.

Data Science  != Software Engineering

I. Process

Software engineering has well established methodologies for tracking progress such as agile points and burndown charts. Thus, managers can predict and control the process by using clearly defined metrics. Data Science  is different as research is more exploratory in nature. Data Science projects have goals such as building a model that predicts something, but like a research process, the desired end state isn’t known up front. This means Data Science  projects do not progress linearly through a lifecycle. There isn’t an agreed upon lifecycle definition for Data Science work and each organization uses its own. It would be hard for a research lab to predict the timing of a breakthrough drug discovery. In the same way, the inherent uncertainty of research makes it hard to track progress and predict the completion of Data Science  projects.

The second unique aspect of Data Science  work process is the concept of hit rate, which is the percentage of models actually being deployed and used by the business. Models created by Data Scientists are similar to leads in a sales funnel in the sense that only a portion of them will materialize. A team with 100 percent reliability is probably being too conservative and not taking on enough audacious projects. Alternatively, an unreliable team will rarely have meaningful impact from their projects. Even when a model didn’t get used by the business, it doesn’t mean it’s a waste of work or the model is bad. Like a good research team, Data Science  teams learn from their mistakes and document insights in searchable knowledge management systems. This is very different from Software Development where the intention is to put all the development to use in specific projects.

The third key difference in the model development process is the level of integration with other parts of the organization. Engineering is usually able to operate somewhat independently from other parts of the business. Engineering’s priorities are certainly aligned with other departments, but they generally don’t need to interact with marketing, finance or HR on adaily basis. In fact, the entire discipline of product management exists to help facilitate these conversations and translate needs and requirements. In contrast, a Data Science  team is most effective when it works closely with the business units who will use their models or analyses. Thus, Data Science team needs to organize themselves effectively to enable seamless, frequent cross-organization communication to iterate on model effectiveness. For example, to help business stakeholders collaborate on in-flight Data Science projects, it’s critical that Data Scientists have easy ways of sharing results with business users.

II. Tools and Infrastructure

There is a tremendous amount of innovation in the Data Science  open source ecosystem, including vibrant communities around R and Python, commercial packages like H2O and SAS, and rapidly advancing deep learning tools like TensorFlow that leverage powerful GPUs. Data Scientists should be able to easily test new packages and techniques, without IT bottlenecks or risking destabilizing the systems that their colleagues rely on. They need easy access to different languages so they can choose the right tool for the job. And they shouldn’t have to use different environments or silos when they switch languages. Although it is preferable to allow greater tool flexibility at the experimentation stage, once the project goes into deployment stage, higher technical validation bars and joint efforts with IT become key to success.  

On the infrastructure front, Data Scientists should be able to access large machines, specialized hardware for running experiments or doing exploratory analysis. They need to be able to easily use burst/elastic compute on demand, with minimal DevOps help. The infrastructure demands of Data Science  teams are also very different from those of engineering teams. For a data scientist, memory and CPU can be a bottleneck on their progress because much of their work involves computationally intensive experiments. For example, it can take 30 minutes to write code for an experiment that would take 8 hours to run on a laptop. Furthermore, compute capacity needs aren’t constant over the course of a Data Science  project, 

 with burst compute consumption being the norm rather than the exception. Many Data Science techniques utilize large machines by parallelizing work across cores or loading more data into the memory.

III. Behavior   

With software, there is a notion of a correct answer and prescribed functionality, which means it’s possible to write tests that verify the intended behavior. This doesn’t hold for Data Science  work, because there is no “right” answer, only better or worse ones. Oftentimes, we’ll hear Data Scientists discuss how they are responsible for building a model as a product or making a slew of models that build on each other that impact business strategy. Unlike statistical models which assume that the distribution of data will remain the same, the distribution of data in machine learning are probabilistic, not deterministic. As a result, they drift and need constant feedback from end users. Data Science  managers often act as a bridge to the business lines and are focused on the quality and pace of the output. Evaluating the model and detecting distribution drift enables people to identify when to retrain the model. Rather than writing unit tests like software engineers, Data Scientists inspect outputs, then obtain feedback from business stakeholders to gauge the performance of their models. Effective models need to be constantly retrained to stay relevant as opposed to a “set it and forget it” workflow. 

Final Thoughts

In general, there are several good practices for Data Scientists to learn from Software Development , but there are also some key differences to keep top of mind. The rigor and discipline that modern Software Development  has created is great and should be emulated where appropriate, but we must also realize that what Data Scientists build is fundamentally different from software engineers. Software Development and Data Science processes often intersect as software captures much of the data used by Data Scientists as well as serving as the “delivery vehicle” for many models. So the two disciplines, while distinct, should work alongside each other to ultimately drive business value. Understanding the fundamental nature of Data Science  work can set a solid foundation for companies to build value-added Data Science  teams with the support of senior leadership and IT team.

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Every job needs an appropriate tool for the kind of role that it has. The programming language skill depends very much on the job role. But there are some programming languages that have a demand in a majority of job roles and also have a high pay for it.

Here is a list of top 8 programming languages that will help you earn more in 2019:

1. Python:

Python is the most popular and demanding language in the job market. According to a survey by Analytics India Magazine, in 2018, 48% of respondents said that Python was the most important language to be learnt by a Data Scientist. In 2019, this sentiment is being clamoured, as almost 75% of the respondents are talking about the importance of Python in data science. The language which is scripted as opposed to compiled will continue to have the demand that it has today in the future. It is easy to learn and has an easy to understand syntax and official tutorials for beginners. It is free, open-sourced and has an easy integration with the web services. It is especially popular in data science and machine learning and also has a GUI-based desktop application.

Python users:  YouTube, Instagram, Pinterest, SurveyMonkey are all built in Python. World of Tanks, Inkscape, Civilization IV, Sims 4, Vegas Trike and Toontown are some of the video games for which Python has been used. It is also used for scientific and computational applications such as FreeCAD and Abacus. Many startups use Python as their primary backend stack.

2. Java

Java, owned by Oracle Corporation, is the second most popular choice in large organisations and it has remained so for decades. It is used by a number of large organisations and is very widely used in Android App Development. Presently, there are more than 3 billion devices that are running applications that are built with the help of the language. Java is widely used for building enterprise-scale web applications, something that every organisation requires. Its policy of Write Once Run Anywhere (WORA) lets it be flexible to run on any platform and be portable across a wide range of platforms from mainframe data centers to smartphones. Java frameworks of Spring, Struts, and Hibernate are very popular.

Java users: Java is mostly used as a backend language in a number of websites like Amazon, Google, Twitter and YouTube. If you are looking for a development based job at a large organization deploys Java at large.

3. JavaScript:

The object oriented language is most popular for interactive effects within the browsers. It is most popularly used to design interactive frontend applications. According to GitHub, it is the most popular language. It is a frontend language and is used in a number of popular web frameworks such as AngularJS, Node.js as well as React.js. It has a rich interfaces versatility and a single programming language for server side and client side scripts can be used with this language. Typescript is considered as a superset of JavaScript and it adds optional static typing features to the language software.

JavaScript users: Many startups are using NodeJS which is a JavaScript-based run-time environment. Majority of websites today use JS as their frontend, some popular examples of which are YouTube, Facebook, Google, Wikipedia and Amazon.

4. Swift:

Developed by Apple in 2014, is the most popular language for mobile platforms and was originally intended to be the replacement to C-based languages. It supports almost everything that is ranging from the programming language to the Objective-C. It was developed for usage in Linux and Mac applications. It is mainly used to keep the mobile apps in iOS-based devices as modern as possible. It mostly works towards safety performance and software design patterns. It helps the developer mistakes to be caught before the software goes into production. It also has a clean syntax and can be easily used with the IBM Swift Sandbox and the IBM Bluemix.

Swift users: App studios such as KeepSafe and Solstice need Swift coders. It is used in a number of iOS apps such as Mozilla Firefox, WordPress, SoundCloud and Flappy Bird game. Both Lyft and IBM use Swift instead of Objective-C. Those who want to serve the Apple community should learn Swift.

5. PHP

PHP programmers can embed the code written in server-side programming language flawlessly into HTML code throughout the Script tag. It plays a key role in web programming and server side scripting. It is equipped with a number of tools making it more efficient. These tools are used in the development by adding useful features and functionalities to the web application and carry on web development tasks without writing prolonged and composite code. It has an extensive range of open-source framework for the developers to choose from, some of which fall in the categories of full-stack web frameworks, while others are micro frameworks. Although not as popular as Python and JavaScript, PHP developers are still needed in large numbers.

PHP users: WordPress, Wikipedia and Yahoo heavily use PHP and has helped its popularity as a web language. Developers often use it for transferring databases or using SQL.

6. Ruby

The OOP language is very much in high demand, especially for startups. It supports in the procedural and functional programming notation and is very easy to use. It is a general-purpose scripting language so it is used in web applications, web servers, system utilities, database work and backups. The web-application framework which is implemented in Ruby is called as Ruby on Rails or RoR.

Ruby users: Airbnb, CrunchBase, GitHub are some of the popular platforms that use Ruby.

7. C#

Created by Microsoft, C# is widely used for backend programming. It is considered to be one of the most powerful programming languages in the Dot NET framework. It takes the help from an integrated development environment product that is Microsoft Visual C++ and is hence a popular choice for applications that are based on Windows, Android and iOS. The language is also widely used for building games (using Unity), building Window mobile phone apps and lots of other use cases.

C# users: Major companies like Accenture, Infosys, Netflix, Capital One need C# developers. The C# is used in a number of backend operations of many popular websites such as Dell, Bing, Visual Studio and Market Watch.

8. GoLang

The language made by Google supports for multithreading at large and is hence used by a lot of companies that rely heavily on distributed systems. It has goroutines instead of threads which consume almost 2KB memory from the heap. It provides a high performance like C/C++ and has efficient concurrency handling like Java.

GoLang users: Go is widely used in startups in Silicon Valley. Some of the Indian companies that use the language are Jabong and Razorpay. The core Go team works at Google. Google – the core Go team work at Google. Most uses of Go at Google are confidential. The YouTube team have released their MySQL scaling infrastructure as open source software.

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Credits : Zdnet

Salaries for in-demand programming skills including Java and PHP are rising rapidly. Advertised tech salaries have grown for the third year in a row, up 1.7% in 2018, with pay for specialised tech roles increasing significantly, as demand for .NET, PHP and Java developers continues to expand.

Over that three-year period, Java developers have seen the largest increase in salaries – 41%. Their wages also increased 6% between 2018 and this year – the average Java developer earns £63,700, although that can rise to £70,700 according to the data from recruitment company Reed.

The second best-paid programming role was full-stack developer, which pays £53,500 on average, rising to £60,300. That’s up 5.6% on last year and 18.8% up on 2016.

PHP developers have seen salaries increase by 20.6% over the three-year period, and enjoyed the the largest increase of any tech role in the past year, up 6.9%. .NET developers have also seen a significant boost in salary during the period, with average pay increasing from £39,900 in 2016 to £47,400 this year – an 18.8% rise.

In most programming language popularity indexes JavaScript, Java, and Python are the most popular languages.    

Data scientist, data analyst, technical architect, DBA and network engineer have also all seen double-digit increases to salary over the three years.

Pay for the more business-focused roles, such as business analyst and project manager, has also risen, but by a smaller amount than for developer roles.

Indeed, one of the few jobs to see pay decline in the last three years, according to the data from Reed, is that of IT director, which it said dropped between 2016 and 2018, only to climb back up slightly this year. Overall, average IT director pay has dropped slightly over the period from £89,200 to £83,600.

These rising salaries are matched by increasing demand for staff with these skills, according to Reed: while the overall number of technology roles advertised increased by 10% since the start of 2018, specialist roles such as data scientist (20%), .NET developer (13%), and BI developer (13%), showed increases considerably higher than average. Demand for full-stack developers – a role that can demand many different developer skills – has also increased rapidly, with a 41% increase in roles advertised since the start of 2018.

The data comes from jobs posted on Reed’s website between 2015 and 2017 and the advertised salaries.

Andrew Gardner, director of Reed Technology, said: “There are plenty of roles out there for candidates with mobile experience and front-end development. Alongside that, firms will also need people with cloud-based experience, and storage skills. The impact of legislation such as GDPR is creating a lot of demand, with companies making sure they have the right skills, systems and processes in place – as a result roles in data are also growing.”

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Credits : Customerthink

Suppose you go to a tailoring shop to purchase a 3-piece suit. The tailor will ask you to choose the fabric. Then he will take your measurements. You will be given options on the various specifics of what you would like on your suit. For e.g.: number of pockets, buttons, their shape, their, and other paraphernalia. After this rigorous process, he will provide you with a date for trial. He does this in order to make sure what he tailors fits perfectly on you. Then comes the delivery date where you get your finished product i.e. the suit.
Analyzing the aforementioned we derive that the role of the customer is obligatory in almost every step of the process. Similar is the requirement when a customer goes on to purchase custom developed software. The software development companies in the USA hire website designers to meet the requirement of the customers. They are tailors in this case. What the customer wishes for, the developers will tailor accordingly. Customer Software development is not a one-stop shop. The customer has to be an active participant in the development process.

An Adequate amount of requirements:

To the common eye, this may seem to be a very easy job. But it is completely the opposite. Simple economics says that there are no boundaries to desires/wants. Hence the website development services company should minutely understand every requirement of the customer. In view of the above process, there are some details stated below for a better understanding:

Outline of the project:

After a customer makes contact with one of the software development companies in the USA regarding the development of software, the evaluators of the software company reach out to the customer in person. They try to analyze the business structure of the customer and then after evaluation proposes the software requirements that are desired by him. Only after the customer gives the go-ahead, is the project taken any further.
In this stage, if the customer doesn’t provide enough attention to the on-going process, then there are chances of things going south later on. If errors happen to creep out in such a preliminary stage, then it may lead to overhead costs, delayed delivery or worse pull-outs.

Detailed introspection:

Here the customer must show the developer his foresight. Whether be it in person or on paper. He needs to explain to the developers why he in dire need of software application. It is useful if the customer makes detailed documentation of his foresight.

• In this documentation, he is first required to speak about what’s and whys’.
• His analysis of his basic business structure, the services he provides, the achievements, the pitfalls.
• What he is wanting out of the software?
• An outline of the basic features he would like to see in the software.
• The advantages/profits he foresees after implementation of the software.

If the customer has a team of technical professionals in his/her company who are well-versed and sharped-eyed on what is required, then it will be better for them to prepare the documentation. The reason being that they are the first 

responders to any problem that is persisting in the customer’s company. Hence they will be able to provide a better outlook on what is necessarily required.

Management introspection:

Every educational course has a vision and outcome. Similar is the case for every company out there. The customer is required to lay down the outcomes of his organization to the custom website development services providing company. He has to show the developers what he intends to give back to his consumers. In order to fulfill all the above process, much introspection is required in the root level i.e. meetings with the employees. They are the ones who will be able to give a more detailed analysis of the problems and also give their take on how they need to be fixed. Though this collaboration with the customer’s employees is a relatively time-consuming process, the result of such intricate details is worthwhile.


Developers may not get the right answers or rather clarity in answers from the company owner. It is very necessary to clear arising doubts by the customer as far as Customer Software development goes. The developers should turn to people who have the ability to clear out their doubts. The more transparent the answers, the fewer obstacles there will be in the development process.


After the vigorous question and answer round, the software company which hires website designers to start to begin with the work. They provide a timeline to the customer. During this timeline, the developers deliver many prototype models to the customer for their assessment and review. They make the customer go through various technical elements of the whole process and ask for an evaluation. With every small review of the customer, they inch towards the completion of the project. Active participation of the customer in this thorough process makes the product meaningful.

On the contrary, if the customer decides to not go through all the technicalities then it becomes a serious problem. The developers go ahead with whatever assessment is made and hence it may lead to an unsuccessful project. This causes an increase in costs and timeline. It is because the developers again have to redo the work correcting the errors and mistakes which have been made in the end product due to the negligence of the customer.

Supervising the budget:

Another major role of the customer is to look over the money he is spending on the development of the software. Generally, these go into millions. Hence it is his duty to keep a track of how efficiently the money is being spent on the development of the software. A little too negligence will cost you millions of dollars.


Risk undoubtedly comes inclusive in the software development business. But one must have the capability to see it through to the end. The key to the development business is Focus and Attention. The customer must indulge himself into the development process and keep a close watch on every technical element that unfolds.

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If you’re a startup or an entrepreneur like to start your own e-commerce business, you should be aware of a few important things. The first and foremost thing you should care about is to find a good tech partner who is able to deliver all your requirements as a single window solution. Your website should work good on a desktop computers besides working across all mobile platforms. Your e-Commerce portal should be able to support a large number of concurrent users to make sure it never disappoints you in the wake of a high volume of traffic. You should select a front-end design that is simple and user-friendly. Your website content and the member panel should be easy and straight forward. There are many different methods to test the performance of your website under pressure. Online security is another important concern for your website. It is advisable that you carry out a thorough testing of your website for all potential security flaws by a professional company before going live. One really important parameter for success is how often you communicate with your registered members. Two different websites with different communication strategies often come out with different sales figures. Give yourself the best chance with these tips, and try not to let the stress get to you! Remember: you’ve got this.

Life isn’t simple when you choose to become an entrepreneur in India. Being a successful entrepreneur requires a lot of patience and an enormous amount of hard work. With outdated infrastructure across the nation and woefully old fashioned mindset still among the Indian investors, no doubt it’s often a mission impossible for many Indians. Whether it’s your business or the social life everything is going to be severely impacted by your efforts. You must be a genius to be victorious in such adverse conditions. You are almost sure to find it impossible to climb the ladder of success without substantial investment. You need investment for your business to take wings. You need a good investor, a visionary, who is ready to place its trust (and money) on you. This is going to take quite a lot of time. Even after a decade of hard work you may find yourself in the middle of nowhere. It’s not easy to setup a successful business. During this time, you need to stay focused, stay calm and ready to face odd situations. You must be a good learner. You should learn from your mistakes and take measures not to repeat those errors. You should also learn to manage your resources well. Make sure you utilize every single resource under your control. Entrepreneurship is challenging but isn’t impossible. If you have it in you and ready to sacrifice a few years of your life, it’s definitely achievable.