Agile Living

Software to Make Testing More Agile

The IT companies continue adopting agile methodology to extend faster and better software development. However, the speed leads to constant pressure on quick development while ignoring the specific requirements of testing.

In this article at CMS Wire, Tom Petrocelli brings focus towards the most unexpected complexities of software testing and how the speed of testing gets out of sync.

Obstacles of Testing

Software testing does not resemble the coding process. Since testing is unpredictable, it increases the chances of disrupting a project while changing the code from development to testing. Although, multiple factors affect the testing speed, listed below are some major causes:

  1. False Negative: Once the code is handed over to testing, the change in the development environment may cause errors that are not part of the production system. This error is termed as ‘false negative’ that occurs when the code is in a test environment and not in production, leading to system failure. The test environment is different from development as the code libraries, variables, and virtual machines for languages like Java or Python, are different. The main cause of the error is poor communication or manual configuration of test and development environments.
  2. Poor Test Data: The code reacts differently when encountering specific data. This is the reason why the real-world production data is complex to test plans. This data is specifically available for the new applications and systems that manage highly confidential data. By the time the required data will be extracted, the testers lose time on further providing further feedback to the developers.
  3. Miscommunication: Poor communication between testers and developers may lead to error too. The testers need to quickly communicate the issue they face with the developers and product owners without disrupting their workflows. Circulating faulty information between testers and developers may lead to diverted paths without realizing the occurrence of crucial problems, leading to a delay in the project.

Rescue Tools

Existing technologies like ‘test data management’ and ‘generation software’ may help in resolving these problems. The author suggests that ‘automated data masking’ may help in concealing the confidential data. The ‘infrastructure as code(IAC)/DevOps automation’ tools may help in ensuring if the test environments are correctly created.

Tools like ‘Red Hat, Chef, Puppet, and SaltStack’ help in automating the process of provision while configuring software environment via code. A combination of ‘real-time chat’ may help in establishing seamless communication between testers and developers. The ‘purpose-built intranets’ and ‘document repositories’ allow testers and developers to access information in a seamless manner rather than interrupting each other for the required documents.

The author believes that tools are just a way of combating unwanted situations occurring at the technical front. If the testers and developers maintain seamless communications while adopting best practices, it would be easier to develop error-free testing.

To read the original article, click on the following link:

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