Development of Optimal Indigenous Model for Automated Test Life Cycle (ATLC) - in Local Software Industry

Abstract

Test Automation is very important concept that software industry must recognize in order to ensure quality in its products. Today, test automation is executing in parallel to manual testing in software development life cycle to ensure reduction in time, cost and quality. It is considered a key to obtain more success. The study is compiled to focus on the impact of test automation practices on software project success of local software industry with a mediating role of organizational culture and quality improvement. Also the effect of test automation introduction on quality of improvement in a software project is taken under consensus and debate. This study referred as quantitative study. The questionnaire was adopted from prior studies to evaluate Automation Testing Lifecycle (ATLC) practices and performance. The employees of software houses of Punjab were taken as population and maximum population was targeted to get authenticated results. Using a random sampling technique, survey was conducted at local software houses. Multiple statistical and correlation analysis was performed through SPSS 17.0. The results revealed the effects of significant ATLC practices and an optimal model is created through the findings of the survey. The final conclusion and recommendations are suggested after the analysis and further research areas and implication of the study are highlighted. Future recommendations and limitations based on the self-analysis are also proposed for further research areas suggestions for future work.