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How to be a badass ninja QA tester

How to be a badass ninja QA tester

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Ajay George
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May 5, 2017
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8 min read
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Quality Assurance is more than just finding bugs in an application. The QA team focuses on delivering a quality product that is developed by a developer,within a deadline. The QA team’s primary task is to eliminate the issues that may affect the way the product works and thereby hampering the user experience.

When we approach testing in a project, irrespective of how small or big a project is, we always strive to achieve the testing pyramid. If you have never come across this model then go and look it up, it’s on the list of being a badass!

“Quality is not an act, it is a habit.”— Aristotle

Here is the pyramid,

Why Quality Assurance (QA) is a must in software development?

The longer a bug goes undetected, more expensive it is to fix. A simple cost vs. benefits analysis overwhelmingly shows that the benefits of employing a QA test engineer to validate the code far outweighs the costs.Most importantly, it also influences your product’s reputation!

Here is why the QA process is important in software development:

  • An extensive QA process is performed to eliminate avoidable defects or bugs before a site is made live.
  • QA is done to make the website credible and easy to operate.
  • What if the search button of a search engine like Google, which is used by millions of people every single day, doesn’t work? It might require a simple fix, which can be done by a developer in a jiffy. However,this defect will encourage users to use a different search engine,which leads to a loss in users
  • A proper QA process will help you find defects that can be fixed before the website goes live.
  • When a product is launched, it is a must for the product to have undergone the complete QA process. What if the product is launched and the users find that something is not working as expected? The company will lose its credibility, reputation, and resolving the issue will become expensive and time-consuming
  • The QA process is not just for delivering stable products there is a higher purpose. The purpose is to make users and customers believe that the company is credible, retain the number of users, provide the users a great experience.

If you are still skeptical, look at these stats!

  • In April 26 1994, China Airlines Airbus A300 crashed due to a software bug killing 264 passengers.
  • In April 1999, a software bug caused the failure of a $1.2 billion military satellite launch, one of the most expensive accidents in history.
  • In May 1996, a software bug caused the bank accounts of 823 customers of a major U.S. bank to be credited with 920 million US dollars.

The QA process can be a lifesaver sometimes, can’t it?

How is the QA process performed?

Method

Courtesy:Jack Sheppard

The QA should be aware of the stack, the frameworks, the business purpose of the feature, and most importantly understand the customer’s and user’s pain! This is where the QA process starts and this is where you should begin!

We believe that the QA then enters into the Design Phase and starts its transformation from then on. Having a pre-design QA assessment is even better. Once the company decides to build a product, the PM schedules a meeting with the developers, QA engineers, and designers.

During this meeting, the PM explains the purpose, need, and user requirements that will be used when the product is built.This clarifies information about design, engineering, stack, and other engineering requirements. During this time the QA engineer will understand and clarify information about the origination of the requirement.From there on, QA becomes an integral part of every process till and after the delivery of the product

The following processes must be followed for an effective QA process:

Design QA

Once the design is completed, there should obviously be the obvious design QA. The QA engineer has a discussion with all the members of the software development team.

In this informal discussion table,the features in the product would be explained to the entire team,which they will soon be starting to develop.Then we start the design QA, in which the QA team will go through the entire design to check about functionality, feature, enhancements, user requirements, business purpose validation, potential issues, foresee complexities that may exist and are briefly made aware on the drawing board to the devs during the design QA process.

Create the test scenario document

After the design QA is done, the QA team starts designing a test scenario document (sample template), which is a hybrid of use case and test case documents.

This document will be used throughout the testing phase. It contains a list of all the possible scenarios that are identified for testing in the product based on the design. Once the testing begins, the scenarios will be iteratively added during the Executing phase.

Documentation review

Documentation review is a critical step in the QA process.This review decides the direction of the testing process and direction is very important.

This review is done by developers or the PM before the execution phase starts. In this step, either the developer or the PM goes through the test scenario document that was created by the QA team and checks whether all the scenarios have been covered.

If a scenario is missing, it is the shared responsibility of the PM, developers, and QA engineer to ensure that it is added. It is recommended that you do not start testing until all the scenarios have been added to the document.

Execution

Execution is the phase where the real testing happens. The testing process is started when 75% of the product has been developed thus avoiding rework by the time the development reaches 95%.

Rework is mitigated by the test scenario document which was created during the test scenario phase. If you take up QA earlier, then you will not have the appropriate QA and test coverage. If you do QA after the product or feature has been fully developed, then you will have to deal with a lot of demotivation among the developers due to rework.

You must test all the scenarios which are covered in the test scenario document along with the scenarios which you come across while testing the actual product. Add the new scenarios to the document while testing.

The execution phase takes its own time.There will not be any compromise on the time for QA. The results of the execution will be noted in the test scenario document and the same will be shared with the developers who have developed the product.

During the execution phase, not only the scenarios are just covered but the user experience would be tested too.The way the product behaves,all the functionalities,features,UI would also be tested.If a scenario fails.We would add the explanation of it along with the screenshot,URL,steps to reproduce.

Defect reporting

As Joel says in his blog,

“A great tester gives programmers immediate feedback on what they did right and what they did wrong. Believe it or not, one of the most valuable features of a tester is providing positive reinforcement. There is no better way to improve a programmer’s morale, happiness, and subjective sense of well-being than a La Marzocco Linea espresso machine to have dedicated testers who get frequent releases from the developers, try them out, and give negative and positive feedback. Otherwise it’s depressing to be a programmer.”

During a sprint ,the defects that are found should be noted in the a defect summary sheet (sample defect summary) of a test scenario document (sample template).This helps the developer to view the defect along with the explanation, screenshot, URL, and steps to reproduce the defect.

The developer then fixes the defects. If a defect is not valid, then it will be classified as one of the following:

  • Feature
  • Bug that cannot be fixed for various reasons or requires a design change.

Otherwise, the defect is marked as fixed in the relevant column of the test scenario document and also updates the Maniphest log. The defects can be related to the functionality, features, UI, or anything that affects the way the product works.

Maniphest

Maniphest is one of the defect-management tools that is used during the QA process. It helps to manage the entire bug life-cycle. As tests are executed, you may find bugs in the existing flow or may feel there is scope for a few enhancements. You should immediately, create a task in Maniphest and assign it to the relevant developer.

Based on the priority, bugs will be fixed. Once the bug is fixed, the author of the bug i.e. the relevant QA engineer will receive an email notification.This helps the QA engineer to retest the bug and change the status accordingly.

Retesting

Once the issue is marked as fixed by the developer in the test scenario document, the retesting of the specific defect is the responsibility of the QA engineer who reported the issue. The results of the retesting should also be recorded in the test scenario document.

The Testing phase ends with this step. Retesting will be done at the end of the Execution phase because execution is usually done on a fully developed product—the most stable version of the product.

Test closure

This is the step where the QA team prepares the release notes of the testing process.

Release notes contain the following information:

  • Description of the product that was tested
  • Time taken
  • Approach followed
  • Reference links
  • Test results
  • Type of testing that was done

After the release notes are sent to the whole team, the QA process ends.

Types of testing at HackerEarth

Automation testing

While there is plenty of room for improving the QA process at HackerEarth, we are now trying to put an emphasis on building automated tests so that we can let people do what people are good at and have computers do what computers are good at. That doesn’t mean that we never do manual testing or drop out of the pyramid. Instead we do the “right” amount of manual testing with more human-oriented focus (e.g. exploratory testing) and try to ensure that we never do repetitive manual testing.

Performance testing

Performance testing is an important type of testing which is a must before deploying any new change. Performance testing is performed to determine the behavior of a system under both normal and expected peak-load conditions. It helps to identify the maximum operating capacity of an application.We use New Relic for the performance testing.

“An application can work fine for a single user but may break when multiple users use it simultaneously.”

We use JMeter to perform load testing.

JMeter creates realistic & accurate scenarios, sends requests to appropriate servers which show the performance of an appropriate server/application via tables, graphs etc.

Environments used for testing

We have an environment that is a replica of the production environment. It is called the ‘staging environment’.We use this staging environment for the testing process.

The developers develop an application in their local environment and push it to staging where the QA engineer will test the application. All the testing takes place in the staging environment.

We would never have been able to get this far and achieve an effective QA process without a dedicated grassroots effort from everyone in the team. This effort would have failed if it hadn’t been combined with huge improvements in our testing tool, processes, and mind shift along with the business and developers.

“QA is hard!! If it was easy, anyone could have done it. The ‘hard’ part is what makes QA important!”

We have taken a serious and pragmatic approach to establish a definite QA process. The important thing about this process is that QA at HackerEarth has evolved into a multi-dimensional process. We have formulated this QA process collaboratively and improved it over time.

Wondering what is the best way to introduce QA process in your team? Just get started! Good luck!

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Author
Ajay George
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May 5, 2017
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8 min read
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A New Era of Code

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The Promise and the Pitfalls

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AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

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This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

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Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

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Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

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How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

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How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

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FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

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Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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