Open Access
Towards a Collaborative Code Review Plugin
Vera Barstad,Vladimir Shulgin,Morten Goodwin,Terje Gjøsæter +3 more
- 01 Jan 2013
TL;DR: This paper investigates the feasibility of a plugin facilitating identification of code quality and includes a distributed plugin that performs static code analysis as well as machine learning based classification, and is able to identify well written and badly written code.
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Abstract: This paper investigates the feasibility of a plugin facilitating identification of code quality. The proposed solution includes a distributed plugin that performs static code analysis as well as machine learning based classification, and is able to identify well written and badly written code.
read more
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Citations
Predicting Source Code Quality with Static Analysis and Machine Learning
Vera Barstad,Morten Goodwin,Terje Gjøsæter +2 more
- 01 Jan 2014
TL;DR: This paper is investigating if it is possible to predict source code quality based on static analysis and machine learning, and uses a combination of peer review/human rating, static code analysis, and classification methods.
Sharing and Preserving Coding Best Practices through Programmer Data Analytics
Samiththa Bashani,Indika Perera +1 more
- 01 Sep 2018
TL;DR: This particular research tried to contribute to the field of software architecture by analyzing the feasibility of using machine data to identify the developer coding patterns and related data and provide a mechanism to enhance the skills of a developer.
1
References
Collaborative Development Environments
Grady Booch,Alan W. Brown +1 more
TL;DR: This paper examines the points of friction in the software development process and the mechanisms that reduce that friction, and surveys a variety of sites, both inside and outside the software domain, which provide some of these mechanisms.
A systematic literature review of actionable alert identification techniques for automated static code analysis
Sarah Heckman,Laurie Williams +1 more
TL;DR: This work proposes building on an actionable alert identification benchmark for comparison and evaluation of AAIT from literature on a standard set of subjects and utilizing a common set of evaluation metrics.
Jazzing up Eclipse with collaborative tools
Li-Te Cheng,Susanne Hupfer,Steven I. Ross,John F. Patterson +3 more
- 27 Oct 2003
TL;DR: An overview of the Jazz project, which seeks to integrate collaborative capabilities into the Eclipse IDE, enabling small teams of software developers to work together more productively, is presented.
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A design for team peer code review
Deborah A. Trytten
- 23 Feb 2005
TL;DR: A new design has been developed for a teamwork exercise based on peer code review that uses the three Ss of building assignments for cooperative learning: Same problem, Specific choices, and Simultaneous report.
61
Computer Supported Collaborative Learning in software engineering
Mauro Coccoli,Lidia Stanganelli,Paolo Maresca +2 more
- 04 Apr 2011
TL;DR: The main idea behind the project is the implementation of a really effective Computer Supported Collaborative Learning (CSCL) paradigm, to be used for higher education on team cooperation, in software engineering classes for the analysis, design, and development of software programs along their lifecycle.
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