Development of optimal indigenous model for automated test life cycle (ATLC)-in local software industry

Test Automation is an essential concept that software industry must recognize to ensure quality in its products. Today, test automation is executing in parallel to manual testing in software development lifecycle to ensure are education 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 development in a software project is taken under consensus and debate. This study referred as a quantitative study. The questionnaire was adapted from prior studies to evaluate Automation Testing Lifecycle (ATLC) practices and performance. The employees of software houses were taken as population and the maximum population was targeted to get authenticated results. Using a random sampling technique, the survey was conducted at local software houses. Multiple statistical and correlation analysis was performed with 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 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 additional research areas suggestions for future work.