How do open source app developers perceive API changes related to Android battery optimization? An empirical study

The aim of the article is to report the results of a migration to Open Source Software (OSS) in one public administration. The migration focuses on the office automation field and, in particular, on the OpenOffice.org suite. We have analysed the transition to OSS considering qualitative and quantitative data collected with the aid of different tools. All the data have been always considered from the point of view of the different stakeholders involved, IT managers, IT technicians, and users. The results of the project have been largely satisfactory. However the results cannot be generalised due to some constraints, like the environment considered and the parallel use of the old solution. Nevertheless, we think that the data collected can be of valuable aid to managers wishing to evaluate a possible transition to OSS.

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Do Developers Really Worry About Refactoring Re-test? An Empirical Study of Open-Source Systems

Product-Focused Software Process Improvement - Lecture Notes in Computer Science ◽

10.1007/978-3-030-03673-7_12 ◽

2018 ◽

pp. 159-166

Author(s):

Stev Counsell ◽

Stephen Swift ◽

Mahir Arzoky ◽

Giuseppe Destefanis

Keyword(s):

Empirical Study ◽

Open Source ◽

Open Source Systems

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PerHelper: Helping Developers Make Better Decisions on Permission Uses in Android Apps

Applied Sciences ◽

10.3390/app9183699 ◽

2019 ◽

Vol 9 (18) ◽

pp. 3699

Author(s):

Guosheng Xu ◽

Shengwei Xu ◽

Chuan Gao ◽

Bo Wang ◽

Guoai Xu

Keyword(s):

Empirical Study ◽

Open Source ◽

Case Studies ◽

Research Community ◽

Experimental Results ◽

Development Phase ◽

Application Development ◽

Bug Detection ◽

Android Apps ◽

App Development

Permission-related issues in Android apps have been widely studied in our research community, while most of the previous studies considered these issues from the perspective of app users. In this paper, we take a different angle to revisit the permission-related issues from the perspective of app developers. First, we perform an empirical study on investigating how we can help developers make better decisions on permission uses during app development. With detailed experimental results, we show that many permission-related issues can be identified and fixed during the application development phase. In order to help developers to identify and fix these issues, we develop PerHelper, an IDEplugin to automatically infer candidate permission sets, which help guide developers to set permissions more effectively and accurately. We integrate permission-related bug detection into PerHelper and demonstrate its applicability and flexibility through case studies on a set of open-source Android apps.

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