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Why Testing Early & Testing Frequently Is Critical for Your Business

Why Testing Early & Testing Frequently Is Critical for Your Business

The term vote early, vote often is usually a cynical reference to unethical electoral behavior. However applied to testing and QA services, the ‘early and often’ formula is a desirable and salutary! Today, when testing has to keep pace with the rapid evolution of technology and shorter release cycles, a QA company has to equip itself with the tools for “testing early and testing frequently”.

Testing Frequently

When a software testing company adopts this as a standard strategy, testing processes become speedier, more useful and relevant for all stakeholders. This is particularly relevant in an agile testing scenario; to identify potential glitches and reduce their future impact.

Why software testing services recommend testing early & testing frequently A business wants to be able to identify software vulnerabilities, instabilities and optimize quality and ease of use via testing. It is the job of a QA testing company to assess the performance and speed of an application or piece of software and to gauge its usability and quality. By testing early, it is possible to detect glitches and weaknesses early in the testing and development cycle. When testing is done in shorter, more frequent cycles, this helps with continuous quality maintenance and integration; helping to reduce cost and save time.

One of the main aims of using QA services is to identify and address actual and potential threats to a software platform. With a new threat emerging practically daily, testing companies have their work cut out for them; keeping themselves informed about and armed against viruses, ransom-ware, malicious adware and other types of disruptive malware.

Testing Frequently

Regression testing services benefit from early and frequent testing in particular. Since this type of testing examines the older and existing functionalities of an app or piece of software, it is highly beneficial for apps that need ongoing and frequent modifications. It goes without saying, that the best QA Company would be well aware of the importance of early and frequent testing in these scenarios and will offer the sort of functional testing services that ensure compliance with specified functional requirements of a client. If regression testing is best facilitated via early and continuous testing, so is the effective incorporation of innovations and new ideas. Smart problem solving, finding ways around gaps and glitches, and keeping pace with changing market demands can all be facilitated with this type of habitual testing.

Early and frequent testing using automated and manual testing modalities additionally clarifies team and individual responsibilities to achieve optimal cross team efficiency. Another vital benefit of frequent testing is that tester teams are able to keep track of changing code; so that it can be upgraded and made relevant for the software’s end users. Critical functions, complex algorithms and codes are better sorted through early and continuous testing.

The business environment is a constantly changing and unpredictable one. A progressive and flexible business model; in other words an ‘agile’ system is highly desirable for remaining current and relevant in the rapidly evolving market. As such, a QA company has to constantly upgrade its skill set and that of its testers to keep pace with and possibly predict these changes.

For its part, opting for early and frequent testing can be the biggest favour a business can do for itself.

Strengthening Data Science with Quality Assurance

Strengthening Data Science with Quality Assurance

Today, data science is one of the major QA services into which a software testing company would invest their time, collective effort and R&D. Data science is all about mining large volumes of raw information in creative ways to produce value for businesses.

Data Science

A QA company carrying out data centric testing today relies on data science to solve complex analytical issues with the help of algorithm development, data inference and other emerging technologies.

Putting data science to work How does your Gmail filter out annoying and meaningless spam keeping your inbox manageable? How does your favourite shopping site recommend products that interest you? How does a music streaming service such as gaana.com show up music channels and artistes that you love? This is data science at work! It examines your behaviors and preferences and bases actions and results on this. Vast amounts of raw data is typically streaming into enterprise data warehouses and stored there in order to enable immediate or future mining of what is essentially a trove of potentially valuable, problem solving information. ETL testing (Extract Transform Load) facilitates the transfer of data from various sources to a central data warehouse while using strict transfer protocols to help verify, validate and quantify the data while making sure that there is neither data loss nor any kind of duplication.

Mining this data using quantitative data analytics testing will offer insight into existing issues and help guide strategic, problem solving decision making. This data mining essentially reveals trends and helps understand complex behaviors, which in turn helps analyst draw accurate inferences. For instance an entertainment streaming service or an online fashion store will examine vast amounts of data to reveal what viewers are interested to base future business decisions on. Data warehouse testing will also result in the development of data products and algorithm solutions operating at scale. It helps businesses plan production volumes, based on information gleaned about future demand patterns.

How a QA company helps strengthen data science As software environments and business practices have changed and evolved; providers of QA services have had to keep pace with this evolution to remain current and relevant. A software testing company will review available data to create predictive models and mathematical optimisations. Business leaders find the practical solutions they are looking for, teams can set up SOPs and streamlining of existing processes. This helps minimise waste and removes redundancy. Private and government entities find that mining data for creative solutions helps manage work forces and resolve performance issues. This methodology also helps minimise the risk of performance glitches and failures upon system deployment.

Applying data science to quality assurance processes reviews existing processes, data sources and business models helps to identify and understand clarify business problems in the appropriate context. The QA services provider would then use multiple technologies such as solvers, languages and analytics engines to compare findings and to recommend alterations or improvements. All the vast quantities of data are put to good use to create model implementation, suggest improvements and possible further analyses. A combination of open source or commercial software, advanced analytic algorithms, numerical computing and other tools may be deployed for the best outcomes and to create the best and most holistic solutions.

There are several reason why using an independent QA company is recommended. Your business has access to trained and experienced professionals who keep their teams updated with the latest technology trends. They have a bird’s eye view of the market, which brings valuable insight about the competition and other stakeholders. Their experience with other businesses helps to create a bank of valuable information and the creation of best practices that bring real advantages to businesses looking to grow, expand and increase profitability.

Differences between Black Box and White Box Testing

Differences between Black Box and White Box Testing

As a software testing company / QA Services Company we know that testing software is a critical section in the process of development – we excel at ensuring that the software runs error and bug free, and does what it is meant to do such user experience remains elevated. As a QA company, we are focused on every minute detail of the QA process ensuring that your work processes function unhindered. While software testing might seem cumbersome and time intensive, our expertise ensures your resources and efforts receive a high ROI. Our highly detailed functional testing procedures ensure that you are safe from extensive and last minute code repair – which is a huge saving on time and money.

Differences between Black Box and White Box Testing

Software testing has two main parts: black box testing and white box testing. Simply put: white box testing is conducted in the early stages of the development cycle, and involves unit and integration testing. Black box testing on the other hand is at a higher level, meant to target system and acceptance testing, and hence is part of the later stages of the development cycle.

White Box Testing

The checking of the internal functioning of the system is the testing technique called White Box Testing, and is considered a low level testing. It assumes that the path of the logic within a program or unit is already known, and is based on the coverage of branches, paths or conditions, and code statements.

Techniques used for White Box Testing (WBT) The knowledge of the tester is critical since this would help the tester determine the tests required to uncover any internal working system defects. The tester may conduct statement tests to ensure that each statement has a test case associated with it, and each statement is performed at least once in the testing cycle. Decision tests ensure that decision directions are performed at least once in the testing cycle. To ensure that all the conditions for a specific decision are working well, the tester would conduct branch condition tests, and to check all the combinations of the possible conditions, the decision / condition tests are carried out. Data flow tests ensure that the variables and data used within the system are properly tested and multiple condition tests ensure that each point of entry in the code, are tested at least once in the testing cycle.

Benefits of WBT

  • Does not require a concluded GUI and is easily undertaken by the development team
  • It is a detailed and highly methodical test thereby uncovering bugs and errors early on, and covers every possible path.
Downsides of WBT

  • X Time intensive for developers, and any code updates could invalidate test cases
  • X Difficult to isolate the program from the testing environment

Black Box Testing (BBT)

This is a higher level of testing, focused on how the software is ‘behaving’. The skill of the tester is critical since there is no information about the internal working of the system, and requires external testing from the perspective of the end-user.

Techniques of BBT The inputs are the key factors, and any of the various techniques may be used to choose the inputs during BBT. Boundary Value Analysis tests the boundary values that may have the highest possibility of flawed outputs. In order to identify various modules of errors and reduce the number of required test cases, Equivalence Class Partitioning test is undertaken. A highly skilled tester would use error guessing to check for defects and then proceed to develop analogous test cases.

Benefits of BBT

  • It is easy to create test cases, and hence testers do not need to have a high level of technical expertise.
  • The process can easily be automated, and models the experience of the end user
Downsides of BBT

  • X Tests sometimes are obsolete while being time consuming
  • X The outcomes from test can sometimes be hard to reproduce and or document, and all scenarios and software paths are not captured

What we say As a company excelling in QA Testing, Regression Testing Services, Functional Testing, Manual Testing Mobile Apps and more, we believe that it cannot be conclusively said whether WBT or BBT is better. In fact, both are required and complement each other, and using them in conjunction will ensure systematic testing procedures, which will end in a robust product and smooth release. Connect with us to get the best in class wide range of Software Testing.

Radish BDD Framework Overview

Radish BDD Framework Overview

Radish BDD Framework

Radish BDD Framework is fully compatible with cucumber’s Gherkin language. As a Software Testing Company, sharing our working experience about a new tool/framework to the automation testing community gives immense happiness.

Radish BDD Framework

Automation testers already know about BDD and its tool Cucumber. The testers who automate their test cases using Python go with Behave or Lettuce framework. Radish BDD Framework is also another choice for Python BDD Testing and it has its own features. Let’s see a few important features one by one.

Scenario Looping In Cucumber, you can iterate a scenario using Examples. However, in Radish BDD Framework, you can additionally use Loop keyword to run a scenario multiple times. If you see the below scenario, it runs the same scenario twice.

Feature: Mobile App Self-Service

  Narrative Description: As a XYZ Mobile Network Customer,
  I want a self-service app, so that I can make re-charge and make payment.

Scenario Loop 2: As a mobile app user, I want make a payment
  Given I login into the app
  When I make a payment
  Then I should see the payment successful message   
  

Scenario Precondition Radish has Background feature which will run the steps before each scenario in a feature file. If you want to run a scenario from another feature file as a prerequisite, you can easily accomplish this using Radish Precondition tag. Please see the below example for more clarity.

@precondition(Sample.feature: Pre-steps)
Scenario: As a mobile app user, I want make a payment
  Given I login into the app
  When I make a payment
  Then I should see the payment successful message
  

Constants at Feature Level Constants are specific Tags which define a constant which can be used in the Steps. This could be useful when you have values which are used in several points in a Feature and which should be named instead of appear as magic numbers.

@constant(base_temperature: 70)
Feature: Test heater
   In order to test my
   heater system I write
   the following scenarios.

   Scenario: Test increasing the temperature
       Given I have the room temperature ${base_temperature}
       When I increase the temperature about 5 degrees
       Then I expect the temperature to be ${base_temperature} + 5
  

Conclusion Radish BDD Framework has other notable features. We will update this article in the subsequent days.

Software Testing Best Practices

Software Testing Best Practices

When a business approaches a QA company for software testing, there are several vulnerabilities that the business expects that company to test against. Not only must the software be found to perform flawlessly across various OS and devices that will use it, it also has to prove itself to be secure and invulnerable to cyber-attacks and cloud based issues.

Software Testing Best Practices

A software testing company therefore has the responsibility of detecting bugs, improving quality and cutting out redundancies. Some of these best practices help in the process of rendering top notch QA services to cut costs and streamline processes:

Understanding requirements It is vital for a QA company to ask plenty of questions and understand requirements fully. What are the client’s requirements? Who will use the software, for what and how? What future developments and tweaks are envisaged? A QA testing company has to ask these and other questions in order to attain the best possible outcomes of the testing and quality assurance processes.

Concentrating on the user experience It isn’t enough that testing companies examine a piece of software on emulators and simulators. Even manual testing of an app or other software is not enough if the testers do not keep the end user experience in mind at all times.

Software Testing Best Practices

Those providing software testing services have to keep in mind the people who will be using the final product and their level of expertise. The final product has to be user friendly and perform the function it is meant to, while feeling and looking good.

Combining manual and other testing protocols Ideally, QA services providers use a range of different testing protocols to carry out software tests: using computer based simulators and emulators as well as manual testing of the software on various different devices physically. The best QA company will constantly update its resources and use industry standards such as selenium testing services to offer clients the most effective and comprehensive services.

Working closely with all stakeholders Those offering automation testing services have to work closely with developers and other stakeholders to understand deeper problems that may exist within the system. Timely and accurate diagnosis can help to avoid several issues that may otherwise crop up.

Ensuring test management and reporting The best QA services companies will track the progress of testing, identify roadblocks and offer feedback. This helps create a vital bridge between testers and developers and helps add value.

Effective communication with developers We have already established the importance of testing services providers working closely with developers for the best outcomes. For this to happen, communication between the two parties has to be effective, clear, ongoing and frequent.

Constantly remaining current and updated It is in the interests of a software testing company to remain current and updated at all times. To this end, constantly training personnel and updating skill sets, keeping an eye on new trends and effective adaptation of new technology is vital.

This is vital because of e speed at which technology evolves and improves… it is a matter of keeping up or being left behind! Developing a technical temperament helps testers run requisite tests to detect, address technical issues and offer effective solutions.

Software Testing Best Practices

It is important for software testers to keep themselves informed and abreast of all the latest developments and to be fully conversant with current industry standards. Adopting the above testing best practices, it is possible to ensure positive outcomes for the company as well as its clients. All of this helps a QA company to become reliable and to develop a credible reputation in the testing community.

The Top Software Outsourcing Trends for 2019

The Top Software Outsourcing Trends for 2019

It is the age of digitization, which therefore means that most businesses would use software applications – for automating internal processes to swiftly elevating customer service and experience standards. Software applications today thus are core to and drive businesses across industries. However, all businesses / companies may not have internal capability of testing and managing software, and would need to outsource this critical task. The good news is that there are top QA testing companies that can safely help businesses, making QA outsourcing a business altering idea. Despite a long list of software testing companies in USA and India, companies may still be hesitant to outsource this critical task, which is what makes Codoid.com different – we have steadily earned the trust of companies and business across industries.

There is absolutely no doubt that there will be a rise in software / IT outsourcing in the years come. Research and reports show that businesses will increasingly outsource various business services to specialists. While the expected changes to technology might still not be clear,

Software Outsourcing

there is enough evidence to prove that IT / Software outsourcing will be a game changer in 2019, and QA testing companies that can keep pace with the numerous changes and new technologies, will dominate this industry.

Knowing which software technology to outsource could be overwhelming and confusing, which is the reason for this guide that looks at the major outsourcing trends for 2019, and our knowledge and expertise in all the areas makes us a frontrunner in this realm.

Cyber Security For businesses to remain competitive, a digital presence is of essence, which therefore leaves all such businesses vulnerable to cybercrime. Studies show that organizations have experienced cyber-attacks in some form or another, in the current year (2018).

Test Automation Services

What needs to be understood is that automated software is being used to target poorly maintained networks and computer systems. It becomes obvious then that in the global software outsourcing trends, cyber security is set to dominate. We understand that this is a top capability requirement today,

which is why we have built it in order to remain the go-to software outsourcing company. We are experts in managing authentication issues, data storage and prevention of data leakage.

Artificial Intelligence A continuous testing platform powered by AI helps testers recognize any changed controls more efficiently and swiftly. Through AI, the constant algorithm updates ensure that the minutest change would be easily discernible. As a software testing company we are experts in using AI during the process of scanning and test execution, to identify controls independent of the features of a control i.e. text alignment, color, size, and others. Simply put, we use AI to help us meet and beat the challenges thrust upon us, by hastening the speed of delivery coupled with accelerated technical intricacy. In the world of AI, the business outsourcing trends for 2019 would encompass use of robotics and chatbots when offering service to clients. The purpose is to provide all time support to people and positively impact their daily lives.

Progressive Web Apps (PWA) Industry experts believe that amongst the top software outsourcing trends in 2019, progressive web apps will be foremost. PWA is already part of the browser development versions in both Google and Microsoft – the software giants today. The cost of PWAs is low and companies in the realm of e-commerce, banking and health would speedily adopt PWA based software. Obviously your company would seek to create new software for your organization, and it makes sense to follow the outsourcing trends and work with the most adept.

Blockchain Technology Testing blockchain enhances and maximizes test coverage, while reducing risks owing to insufficient knowledge, which could negatively affect the development process of software.

Blockchain testing is very different to testing required for traditional applications, including heuristics it also involves the understanding of app behavior when ‘affected’ by outside events. It also helps to understand whether users will be able to run the transactions, and whether the transactions would support the cost required to maintain the application.

Low code Development Touted as amongst the top outsourcing trends in 2019, low code development needs expert handling as this process aims at automating as much as coding as possible. There are number of advantages even for companies low on cash, but need elevated levels of agility and risk management.

Cloud Based Testing Cloud is now the ‘favorite’ of IT specialists and industries. It is no surprise then that the focus is shifting to cloud based testing, which has proven helpful for testers to reduce the cost of testing. With cloud testing, companies are able to direct their funds towards reducing operational costs, increasing automation, and benefit in ways that were lacking in earlier methods.

In Conclusion: The trends as mentioned above indicate a promising year for software outsourcing, and there will be a lot more transparency and trust in working with outsourced partners, but only those who would display agility, speed, and help clients gain an edge over competition. At Codoid we understand the importance of interdependence and collaboration – the core of IT / Software outsourcing associations.

To beat competition and stay ahead in the realm, we as software testers and quality assurance professionals constantly remain abreast with the latest current and future trends in testing. The realm of software testing is growing and changing at a mind-boggling pace, and the only way to remain invulnerable to disruptions is by staying ‘attuned to the future’ and doing so now. Adopting a digital mindset and leveraging the advances tools and methods, businesses and testers will be able to focus their time and attention to gain the requisite skills and tools in order to be ‘future ready’.