Abstract:It is predicted that smartphone numbers will increase to 2.8B in 2018, up from around 2B in 2016. Moreover, revenue from application stores is predicted to reach $189B by 2020, up from $88.3B in 2016 1 . Software effort and size estimation are essential when it comes to project managers being able to manage and plan a project so as to prevent it from failing. The planning and development of mobile applications differs from other traditional software applications due to the characteristics of the mobile environment, high autonomy requirements, market competition, and many other constraints. Therefore, this paper presents the results of a Systematic Literature Review (SLR) concerning effort and size estimation models in mobile application development; this is followed by a summary of estimation techniques used across mobile apps. In particular, we focus on the software estimation models that are applicable to the Agile Software Development (ASD) process. The aim of this SLR is to provide researchers and practitioners with an overview of the current state-of-the-art software estimation techniques used in mobile applications. At the end of this review, some suggestions, research gaps and possible future work will be presented.
Effort estimation is essential in order for a project manager and development team members to be able to successfully plan for a software project. The planning and development of mobile applications present many challenges. The aim of this study is to provide and report an overview on the state of the practice of effort estimation techniques that companies use for their mobile app projects. This study focuses on organisations which apply the Agile development process during their projects. We conducted structured and semi-structured interviews with 20 Agile practitioners at 18 different organisations. The results revealed that Planning Poker (PP) and Expert Judgment (EJ) were the most frequently used estimation techniques in mobile app projects.
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