A survey of app store analysis for software engineering

W Martin, F Sarro, Y Jia, Y Zhang… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

[HTML][HTML] Systematic literature review of mobile application development and testing effort estimation

A Kaur, K Kaur - Journal of King Saud University-Computer and …, 2022 - Elsevier
In the recent years, the advances in mobile technology have brought an exorbitant change
in daily lifestyle of individuals. Smartphones/mobile devices are rampant in all aspects of …

App store effects on software engineering practices

AA Al-Subaihin, F Sarro, S Black… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, we study the app store as a phenomenon from the developers' perspective to
investigate the extent to which app stores affect software engineering tasks. Through …

[HTML][HTML] Investigating the relationship between price, rating, and popularity in the Blackberry World App Store

A Finkelstein, M Harman, Y Jia, W Martin… - Information and …, 2017 - Elsevier
Context: App stores provide a software development space and a market place that are both
different from those to which we have become accustomed for traditional software …

Linear programming as a baseline for software effort estimation

F Sarro, A Petrozziello - ACM transactions on software engineering and …, 2018 - dl.acm.org
Software effort estimation studies still suffer from discordant empirical results (ie, conclusion
instability) mainly due to the lack of rigorous benchmarking methods. So far only one …

Customer rating reactions can be predicted purely using app features

F Sarro, M Harman, Y Jia… - 2018 IEEE 26th …, 2018 - ieeexplore.ieee.org
In this paper we provide empirical evidence that the rating that an app attracts can be
accurately predicted from the features it offers. Our results, based on an analysis of 11,537 …

Learning from mistakes: Machine learning enhanced human expert effort estimates

F Sarro, R Moussa, A Petrozziello… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we introduce a novel approach to predictive modeling for software
engineering, named Learning From Mistakes (LFM). The core idea underlying our proposal …

Assessing the effectiveness of approximate functional sizing approaches for effort estimation

S Di Martino, F Ferrucci, C Gravino, F Sarro - Information and Software …, 2020 - Elsevier
Abstract Context: Functional Size Measurement (FSM) methods, like Function Points
Analysis (FPA) or COSMIC, are well-established approaches to estimate software size …

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

A Kaur, K Kaur - Journal of King Saud University-Computer and …, 2022 - Elsevier
With the substantial proliferation in demand for applications running on mobile devices,
developers and testers are foreseen to release applications with high caliber, on time and …

On the relationship between story points and development effort in Agile open-source software

V Tawosi, R Moussa, F Sarro - Proceedings of the 16th ACM/IEEE …, 2022 - dl.acm.org
Background: Previous work has provided some initial evidence that Story Point (SP)
estimated by human-experts may not accurately reflect the effort needed to realise Agile …