A COSMIC function points based test effort estimation model for mobile applications

Context In the last few years, the exigency of mobile devices has proliferated to prodigious heights. The process of developing the mobile software/application proceeds amidst testing phase to verify the correctness of the mobile app. The estimation of testing plays a vital role in the effective completion of testing. Objective To identify how estimation of test effort for mobile applications is distinct from other software via published literature and from mobile software organizations. Second is to recognize different issues in adapting traditional test estimation methods to the mobile domain and if suggestions from survey results could be helpful in providing an improved test estimation model for mobile applications. Method A systematic literature review is conducted followed by a survey through an online questionnaire filled from experienced mobile application developers and testers. Results The results from SLR cover identification of mobile app specific characteristics and reports test effort estimation techniques in the mobile domain. Findings from survey corroborate that a) Function Point/Test Point Analysis is highly adapted traditional test estimation technique to mobile domain; b) Challenges like uncertain requirements, no tool support for test estimation, complexity in testing, client miscommunication etc. are reported; c)Suggestions to improve test estimation process include proper test planning, adoption of agile methodology, healthier communication among client, developer, and tester etc.; d) On the basis of responses, Analytical Hierarchical Process (AHP) identifies “Diverse Devices and OS” along with “Type of App” as highly influential mobile app characteristic on the test estimation process. Conclusion Results conclude that the importance of identified mobile app characteristics from SLR cannot be ignored in the estimation process of mobile software testing. There might be a possibility to improve existing test estimation techniques for mobile apps by giving weight to mobile app specific characteristics and by considering suggestions from experienced developers and testers.

Investigation on test effort estimation of mobile applications: Systematic literature review and survey

Systematic literature review of mobile application development and testing effort estimation

Smartphones / mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology.

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Effort Estimation in Traditional and Agile Mobile Application Development & Testing

We propose an architecture-based testing and reliability framework for mobile applications. During our literature study, we explored some of the software testing and reliability techniques available, as well as investigating the techniques that are being used by industry. This paper presents case studies of two companies that are developing mobile applications. These are helpful for finding the strengths and weaknesses of existing software testing and reliability techniques. In light of these strengths and weaknesses, we propose a framework of architecture-based software testing and reliability estimation for mobile applications.

Architecture Based Reliability and Testing Estimation for Mobile Applications

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Architecture Based Reliability and Testing Estimation for Mobile Applications