Successes, challenges, and rethinking --- an industrial investigation on crowdsourced mobile application testing
The term crowdsourcing --- a compound contraction of crowd and outsourcing --- is a new paradigm for utilizing the power of crowds of people to facilitate large-scale tasks that are costly or time consuming with traditional methods. This paradigm offers ...
What can Android mobile app developers do about the energy consumption of machine learning?
Machine learning is a popular method of learning functions from data to represent and to classify sensor inputs, multimedia, emails, and calendar events. Smartphone applications have been integrating more and more intelligence in the form of machine ...
On the relative value of data resampling approaches for software defect prediction
Software defect data sets are typically characterized by an unbalanced class distribution where the defective modules are fewer than the non-defective modules. Prediction performances of defect prediction models are detrimentally affected by the skewed ...
How do developers utilize source code from stack overflow?
Technical question and answer Q&A platforms, such as Stack Overflow, provide a platform for users to ask and answer questions about a wide variety of programming topics. These platforms accumulate a large amount of knowledge, including hundreds of ...
Test them all, is it worth it? Assessing configuration sampling on the JHipster Web development stack
Many approaches for testing configurable software systems start from the same assumption: it is impossible to test all configurations. This motivated the definition of variability-aware abstractions and sampling techniques to cope with large ...
An empirical study on the issue reports with questions raised during the issue resolving process
An issue report describes a bug or a feature request for a software system. When resolving an issue report, developers may discuss with other developers and/or the reporter to clarify and resolve the reported issue. During this process, questions can be ...
An empirical analysis of the transition from Python 2 to Python 3
Python is one of the most popular and widely adopted programming languages in use today. In 2008 the Python developers introduced a new version of the language, Python 3.0, that was not backward compatible with Python 2, initiating a transitional phase ...
The modular and feature toggle architectures of Google Chrome
Software features often span multiple directories and conceptual modules making the extraction of feature architectures difficult. In this work, we extract a feature toggle architectural view and show how features span the conceptual, concrete, and ...
An empirical assessment of best-answer prediction models in technical Q&A sites
Technical Q&A sites have become essential for software engineers as they constantly seek help from other experts to solve their work problems. Despite their success, many questions remain unresolved, sometimes because the asker does not acknowledge any ...
Preventing duplicate bug reports by continuously querying bug reports
Bug deduplication or duplicate bug report detection is a hot topic in software engineering information retrieval research, but it is often not deployed. Typically to de-duplicate bug reports developers rely upon the search capabilities of the bug report ...
Will this clone be short-lived? Towards a better understanding of the characteristics of short-lived clones
Code clones are created when a developer duplicates a code fragment to reuse existing functionalities. Mitigating clones by refactoring them helps ease the long-term maintenance of large software systems. However, refactoring can introduce an additional ...
The impact of human factors on the participation decision of reviewers in modern code review
Modern Code Review (MCR) plays a key role in software quality practices. In MCR process, a new patch (i.e., a set of code changes) is encouraged to be examined by reviewers in order to identify weaknesses in source code prior to an integration into main ...
An ensemble-based model for predicting agile software development effort
To support agile software development projects, an array of tools and systems is available to plan, design, track, and manage the development process. In this paper, we explore a critical aspect of agile development i.e., effort prediction, that cuts ...
