Top Reasons Why QA Testing is Crucial in Development Process

No single product made by an expert team is entirely free of bugs or needs no perfection and improvement from the very beginning. Particularly in something complicated as software development, where code can be written in several distinct ways, it is very essential to ensure that all team members are on a similar page all the time. That is the reason why the excellence of services can only be guaranteed by a steady and continuous process of defining standards, examining whether the software products meet them, and advising improvement.

QA (Quality assurance) is the process of verifying whether the specific product meets requisite specifications and clients expectations. It takes place concurrently with the application coding procedure. The significant part of the quality assurance process is, testing the applications. The simplest way that companies can execute Quality Assurance testing into their software development is through QA outsourcing. It allows companies to focus on their strengths, such as development, while QA testing task can be completed by remote teams. This can help aid productivity. Expert and proficient QA testers test every single aspect of a developed application, both manually and by applying effective tools, to make sure that the end product is well-polished.


Role of QA in the Software Development Process

QA is a planned set of activities that guarantees that the process and the software products conform to requirements, procedures, and standards. In QA, there are various dependencies – the methodologies, size of the software, complexity, scope, etc, and software testers usually go through the complete application systematically. Software testers check whether a potential end-user can effortlessly make use of all its functionalities and whether the product is user-friendly and intuitive. QA tester or engineers perform the massive role, including debugging, tuning, testing, and suggesting the detailed improvements, which guarantee the quality of the end product. They usually have the following objectives:

  • Maintaining the system quality as per the business requirements and specifications
  • Defect prevention and prevention technique
  • Risk identification
  • Defect and imperfection reduction
  • Boost confidence about software quality levels
  • Verify & validate software requirement
    Direct fault finding and removal without the implementation of the project scenario
  • Testing the project for bug removal
  • Defect tracking methods and process
  • Review User Interface for Consistency and Functionality
  • Concluding remarks and maintaining reports


What are the types of Software Testing?

Unfortunately, some bugs are so troublesome that they can break the whole product, causing enormous loss to the business. In such cases, QA engineers identify the bugs and resolve them with the assistance of the development team, so that, in the end, we launch the product to the market bug-free. There are a series of processes that can be undertaken to check the accuracy and functionality of a software or system, counting:

  • White Box testing
  • Black Box testing
  • Functional Testing
  • Integration testing
  • Usability testing
  • Load Testing
  • End-to-End testing
  • System testing
  • Regression testing


There are so many methods for testing software at several phases in the development process; which one we can use will depend on your application requirements. QA verifies that the system meets the needs with regards to performance, functionality, usability, security, reliability, and so on.


Why are QA Testers so Important?

When it comes to what makes QA tester so important, there are innumerable matters to discuss. It is all about making a positive condition for developing apps. Normally, businesses are willing to spend more for reliable, excellence, and safe products. For this reason, QA testing could add an enormous value to the deal. By being capable to ensure the customer that the whole thing possible is being completed to assure that the app is of great superiority and will encounter the defined necessities of the project, you can raise the confidence of the customer that the project will be done within time and budget.

What’s more, even the expert team of developers always encounters so many issues while working on an app. If you are focused on a specific project for some time, it gets more and more complicated to look at it from a diverse perspective. Apart from checking an app manually, QA testers are also the skilled programmers themselves, and their role is to use particular tools that will automatically test the application for some bugs which cannot be easily addressed by a human. In essence, Quality Assurance is an essential part of the software development process that brings great worth to every single product.


Final word

QA testers can offer a diverse perspective of the overall products through the development life cycle. Hence, companies should do layered QA (Quality Assurance) testing at diverse phases of development or design. Early testing helps control expensive mistakes and useless development for features that users would not care about. A good QA testing process is not just done to eliminate bugs in the end, but guarantee the accurate procedures are in place. Rather than detecting flaws, it prevents them throughout the development procedure.


If you would like to know more about how we can integrate QA Testing into your software development life-cycle, call us today. Let’s talk about your project today!!

5 Ways AI is Shaping the Future of Software Testing

Artificial Intelligence is the hottest buzzword these days and advancement in AI allows Enterprise and industries to make smart decisions and radically transform processes. As software tests shift gears from manual to automation for embracing the speed for DevOps and digital transformation, Artificial Intelligence has emerged to be the key lever for this change.

AI working ways
AI working ways

Applications today interact with other apps through APIs, they leveraging legacy systems, and they grow in the complex from one day to the next in a nonlinear fashion. What does that mean for experts? The recent World Quality Report declared that it will help. It is now believed that the most significant solution to overcome increasing QA Challenges will be the rising trend and introduction of machine-based intelligence.

Software testing is an imperative process that makes sure client satisfaction in the app. It is fundamentally about inputs and anticipated results that blend a big amount of human as well as machine-generated data. And so, the test is a ready ground for AI.

Whether automated or manual, software testing can benefit greatly from using it, BOTs, as well as the intelligence, derived data & analytics. Test bots run automated tasks (scripts) over the Internet & perform repetitious actions. Test bots (Voice Bots and Chat Bots) also interpret, mimic and react to the written and spoken the language. Bots aren’t hard-coded and can notice the newest features in the app.

5 significant ways it is changing this dynamic:

1- Testing is becoming error-free & simple- Because the new algorithms are such significant analyzing tools, the adept software developers will no longer have to write all the scripts and examine so many data. The newest AI will also have the capability to sort through log files to improve accuracy in the specific program and to save the precious amount of time. The data results generated give developers a thorough view of the changes that must be re-enforced. It shows developers where testing is required by locating flaws in a system. Moreover, the new algorithms can also foretell future complications, which heighten efficiency during test periods.

2- Optimizing the Test Suite- One of the important flaws facing software development and testing is over-engineering those results in loss of resources, effort and time. As companies release speedy and use automation to move forth, they often struggle with huge amounts of a backlog. BOTS can also help clear the backlog and enable focus on the tests right. BOTs can identify the same/redundant and unique test cases, thus removing the duplicates and intensifying traceability.

3- Defect analysis- The intelligent approach to identify imperfection early and provide suggestions to avoid this flaw and speed up cycle time. Artificial Intelligence can accurately discover usage and failure trends to spot the most critical and less obvious faults, which allows teams to prioritize regression test cases based on dangers identified.

4- AI can eliminate extra bugs- Bugs will speedily ruin the user experience, and software test is required to halt such flaws and disruptions. When bugs are captured and caught, expert testers are left wondering how the bug went undiscovered and when the bug entered the program. With the proper use of AI the questions of when, how, and where bugs entered a system are put to rest. Testers can use the information generated by it to detect if more coding modifications will be required to control bugs from entering the program. AI is constantly testing to clear-out excessive bugs from programs.

5- Prescriptive and Predictive Analytics- BOTS thrive on data and luckily most enterprises have immense amounts of production and test data bring forth by automation suites. Artificial Intelligence can be utilized to analyze test results, identify flaws and predict the quality. It uses this data to foretell the key parameters of procedures and prescribe the best course of actions. The smart approach to detect usage and failure trends to spot the crucial, critical and less obvious faults.

AI has a world-shaking high impact on the quality function with benefits ranging from superior quality to speed to market, optimization, better coverage, traceability, and extraordinary savings on the overall cost of development.

What are the key differences between QA and QC?

Quality Assurance and Quality Control are two facets of quality management. Are you confused with key differences between QA (quality assurance) vs. QC (quality control) in software testing? No problem! Keep reading to know the dissimilarity.

Although QA & QC are both aspects of quality management, they are primarily different in their focus:

  • QA is process-oriented & focuses on flaw prevention, while
  • QC is product-oriented & focuses on defect detection.

[Knowledgebase: In the ISO 9000 standard, clause 3.2.10 defines Quality Control as: “A part of quality management focused on fulfilling quality requirements”. Clause 3.2.11 defines Quality Assurance as: “A part of quality management focused on giving confidence that quality requirements will be fulfilled”

According to NASA, the most rigorous software engineering firms:

  • Software QA: “The function of software quality that assures that the standards, processes, and procedures are appropriate for the project and are correctly implemented”
  • Software QC: “The function of software quality that checks that the project follows its standards, processes, and procedures and that the project produces the required internal and external (deliverable) products”

In short, Quality Assurance concentrates on the process of quality, while Quality Control concentrates on the quality of productivity.]

Differences between QA & QC

Difference between QA and QC
Difference between QA and QC

In a nutshell, we can say that QA (Quality Assurance) is the prevention of defects, while QC (Quality Control) is their detection.

If you have any query regarding the same, or would like to share your feedback, we are open to discuss!!

5 Core Challenges Associated with Performance Testing

With the growth and demand of Mobile applications, there is growing competition in the marketplace and performance has a great impact on the app’s reliability and dependability. Therefore, there is a high requirement for performance and load tests with suitable blueprint and execution. In general, performance testing validates the scalability, stability, and speed of the applications. This is significant for providing an ‘Amazing’ and ‘Ultimate’ experience to the users.

Key Purpose of Performance Testing:

To ensure the stability, speed, and accuracy of the software.

The Performance test is critical to authenticate the scalability, reliability, and responsiveness features of the software under test.

In software testing, the rapidity and response time of the specific application is one of the vital attributes. The performance testing uncovers the performance hiccups and bottlenecks to uphold the attention and interest of the customer. Such type of Testing falls into several categories like Stress Testing, Load Testing, and Spike Testing to mention a few.

The most common performance hiccups and glitches observed in any web/ mobile app are as follows:

• Poor response time

• Memory utilization

• Disk usage

• Poor scalability

• CPU utilization

• Loading Bottleneck

• Extended Loading time

• Software configuration problems for the Web server,

• Operating System limitations

• Load balancers, databases, etc.

• Poor network configuration

5 Key Challenges of Performance Testing:

A software application should be thoroughly tested with accurate testing processes before releasing to the customers. Like any other testing procedures, this type of testing also comes with a number of Challenges.

1- Testing Tools and Situation

Performance testing requires you to test the application under reasonable scenarios. However, lots of times the enterprises do not have the budget or environment for executing the tests. One of the most efficient ways to conduct performance testing is to generate a replica of the production environment. Yet, the challenge lies in getting the proper outcome with limited resource and uneven scenarios. For example, creating a scenario where multiple users log into the system at the same time is hard.

There is countless consideration before moving further on with such type of testing. They comprise:

• Technology

• Protocols

• Browser

• Tool

• Platform

• Budget

• Hardware Requirements

2- Test Coverage

It necessitates vast knowledge and talent to cover all the functionalities when doing performance testing. But, the scenarios must be exhibitive of a range of parameters. One can try automating core functionalities by gathering various scenarios. User data must be predicted properly as there would be lots of users using the system in their own context.

3- Performance Test Analysis

Evaluating and examining the performance test outcomes is the most challenging task in Performance and load of testing. It requires you to have comprehensive knowledge and better decision to examine tools and reports. In addition, you need to by and large upgrade the tests based on the definite situation.

4- Non-Functional Requirements

Both functional and non-functional requirements are vital for such kind of test. Functional needs are more precise and include input data types, algorithms, and functionality to be covered. The challenge lies in discovering less specific non-functional requirements. They include capacity, usability, stability, responsiveness, and interoperability.

5- Analyzing the Performance Test Outcomes

This is indeed one of the significant and trickiest of the challenges for Performance testing. A good amount of judgment and thorough knowledge of the system is necessary to examine the several performance result reports besides the tools used for the actual tests. A skilled tester should be able to judge the scenarios and if the test is done or not. The tester should be able to continuously refine the tests and keep adding tests consistent with the situations estimated during the course of time.

6 Most Popular Bug Tracking Tools

There is one major challenge that comes with every new app or website, something that tech-savvy people – name “a bug”. And those bugs are giving developers a tough time. Those bugs are the reason, why we require using bug tracking systems to find, document and resolve these bugs. The Quality Assurance Market has seen the emergence of the series of defect management or bug tracking systems tools over the years.

Let’s have a glance at the best Bug Tracking Tools:

  • Trac- Bug Tracking Tool
Trac- Bug Tracking Tool
Trac

It is an open-source and an improved wiki and issue tracking system for particular software development projects. It has been adopted by various enterprises for software development projects. It offers a simple to use web interface. It can be used for documents and management. Trac integrates with high version control systems considering Git & Subversion. It also allows wiki markup in issue descriptions and commit messages and to create relations & references between tasks, bugs, changesets, files, and wiki pages. Trac is a lightweight and stable system; however, you may lose out some of the pioneering features offered by other bug tracking systems.

Type: Free Version

  • Bugzilla- Bug Tracking Tool
Bugzilla- Bug Tracking Tool
Bugzilla

It is a Mozilla Foundation supported web-based bug tracker and pioneering testing tool that permits its users to log and track flaws, bugs, and defects in their product effectively. It is a matured feature-rich app with great features like advanced search capabilities, scheduled reports, bug lists in multiple formats, the capability to file/ modify bugs via email, patch viewer, time tracking, automatic duplicate bug detection, request system, private attachment, and comments, etc. Bugzilla is a widely adapted product used by quite a few big open source projects such as Linux Kernel dev team, Apache dev team, GNOME dev team, and renowned companies like Facebook, NASA, Open Office, etc. and are one of the well-known bug tracking systems.

Type: Free Version

  • ReQtest- Bug Tracking Tool
ReQtest- Bug Tracking Tool
ReQtest

It is an external cloud-based testing tool with bug tracker capacity. ReQtest also offers all-extensive test management features which give the testing team the capacity to detect the advancement of testing in real-time. Its “Agile board” offers an effective method to visualize tasks and collaborate smoothly. It is famous amongst UAT testers and is mostly preferred by big corporations and small teams as well, as it has no hassles associating installation or maintenance.

Type– Free & Commercial versions (Free ReQtest Trial for 10 Days)

  • BugHerd- Bug Tracking Tool
BugHerd- Bug Tracking Tool
BugHerd

It is a web-based bug tracking project management tool. Specifically designed and framed for developers and designers, glitches are well-organized around four major listings: Backlog, To Do, and Doing & Done – enable the testing team to keep up with the status of diverse tasks. The sophisticated tool captures a screenshot of the roadblocks counting the exact HTML component being annotated. When already installed tools such as Pivotal Tracker or Redmine? BugHerd can be incorporated with any of these.

Type– Free Version

  • JIRA- Bug Tracking Tool
JIRA- Bug Tracking Tool
JIRA

It is a popular tool developed by Australian Company Atlassian. JIRA is used for issue tracking, bug tracking, and project management. The fundamental use of this tool is to track the issue, defects, flaws, and bugs related to your software and Mobile applications.

Type– Free & Commercial Versions ( 7-day free trial)

  • Mantis- Bug Tracking Tool
Mantis- Bug Tracking Tool
Mantis

This tool can be simple to use. Mantis not only comes as a web app but possess its own mobile version. Mantis works with several databases like PostgreSQL, MS SQL, MySQL, and integrated with applications like the wiki, RSS feeds, chat, time tracking, and many more.

Type– Free & Commercial Versions (30 days free trial)

These are top 6 defects/ bug tracking tools available in the market– with some of them being an ideal fit for you and the others won’t cut it. In order to choose the accurate tool, it’s vital to consider several important factors like a team’s size and capabilities you require.

Now, which is your most preferred Bug Tracking Tool from the list? If you are using any other defect tracker tool which isn’t listed here. Please share your thoughts in the comments section.