One of the tasks of reviewers is to verify that code modifications are well tested. However, current tools offer little support in understanding precisely how changes to the code relate to changes to the tests. In particular, it is hard to see whether (modified) test code covers the changed code. To mitigate this problem, we developed OPERIAS, a tool that provides a combined visualization of fine-grained source code differences and coverage impact. OPERIAS works both as a stand-Alone tool on specific project versions and as a service hooked to GitHub. In the latter case, it provides automated reports for each new pull request, which reviewers can use to assess the code contribution. OPERIAS works for any Java project that works with maven a...
Identifying and analyzing code patches is a common practice to not only understand existing bugs but...
In pull-based development systems, code reviews and pull request comments play important roles in im...
Dataset for Code Review Visualization: An Exploratory Study of Collaboration, Expertise, and Workloa
One of the tasks of reviewers is to verify that code modifications are well tested. However, current...
With the increasing popularity of open-source version control platforms like GitHub, developers get ...
Code reviews are a widely adopted practice in software engineering that is proven to increase the qu...
The visualization of statement coverage (C0) and branch coverage (C1) measurement output can be used...
Modern Code Review (MCR) is an integral part of a software development strategy that accelerates pro...
Part 1: Open Source Visualization and ReportingInternational audienceDuring the last years, most of ...
Abstract—Software code review is a process of developers inspecting new code changes made by others,...
Code review is a commonly used process to ensure the software quality of a product is maintained at ...
Modern software development is performed by developing features in isolated branches by each member ...
As testing is an incomplete validation of software changes, many developers review code changes befo...
Small changes can have major and nonlocal effects in object oriented languages, due to the extensive...
Code analysis tools are not widely accepted by developers, and software vulnerabilities are detected...
Identifying and analyzing code patches is a common practice to not only understand existing bugs but...
In pull-based development systems, code reviews and pull request comments play important roles in im...
Dataset for Code Review Visualization: An Exploratory Study of Collaboration, Expertise, and Workloa
One of the tasks of reviewers is to verify that code modifications are well tested. However, current...
With the increasing popularity of open-source version control platforms like GitHub, developers get ...
Code reviews are a widely adopted practice in software engineering that is proven to increase the qu...
The visualization of statement coverage (C0) and branch coverage (C1) measurement output can be used...
Modern Code Review (MCR) is an integral part of a software development strategy that accelerates pro...
Part 1: Open Source Visualization and ReportingInternational audienceDuring the last years, most of ...
Abstract—Software code review is a process of developers inspecting new code changes made by others,...
Code review is a commonly used process to ensure the software quality of a product is maintained at ...
Modern software development is performed by developing features in isolated branches by each member ...
As testing is an incomplete validation of software changes, many developers review code changes befo...
Small changes can have major and nonlocal effects in object oriented languages, due to the extensive...
Code analysis tools are not widely accepted by developers, and software vulnerabilities are detected...
Identifying and analyzing code patches is a common practice to not only understand existing bugs but...
In pull-based development systems, code reviews and pull request comments play important roles in im...
Dataset for Code Review Visualization: An Exploratory Study of Collaboration, Expertise, and Workloa