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Knowledge discovery in software teams by means of evolutionary visual software analytics

SCIENCE OF COMPUTER PROGRAMMING 2016年 121卷 55-74页

作者： Gonzalez-Torres, Antonio Garcia-Penalvo, Francisco J. Theron-Sanchez, Roberto Colomo-Palacios, Ricardo ULACIT Sch Engn San Jose Costa Rica Univ Salamanca Dept Comp Sci E-37008 Salamanca Spain Ostfold Univ Coll Fac Comp Sci Halden Norway

The day-to-day management of human resources that occurs during the development and maintenance process of software systems is a responsibility of project leads and managers, who usually perform such a task empirically. Moreover, rotation and distributed software development affect the establishment of long-term relationships between project managers and software projects, as well as between project managers and companies. It is also common for project leads and managers to face decision-making on human resources without the necessary prior knowledge. In this context, the application of visual analytics to software evolution supports software project leads and managers using analysis methods and a shared knowledge space for decision-making by, means of visualization and interaction techniques. This approach offers the possibility of determining which programmer has led a project or contributed more to the development and maintenance of a software system in terms of revisions. Moreover, this approach helps to elucidate both the software items(1) that have been changed in common by a group of programmers and who has changed what software items. With this information, software project leads and managers can make decisions regarding task assignment to developers and staff substitutions due to unexpected situations or staff turnover. Consequently, this research is aimed at supporting software practitioners in tasks related to human resources management through the application of visual analytics to software Evolution. (C) 2015 Elsevier B.V. All rights reserved.

关键词： visual analytics software Evolution software Evolution visualization visual software analytics evolutionary visual software analytics

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How evolutionary visual software analytics Supports Knowledge Discovery

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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2013年第1期29卷 17-34页

作者： Gonzalez-Torres, Antonio Garcia-Penalvo, Francisco J. Theron, Roberto Univ Salamanca Dept Comp Sci Fac Sci E-37008 Salamanca Spain

evolutionary visual software analytics is a specialization of visual analytics. It is aimed at supporting software maintenance processes by aiding the understanding and comprehension of software evolution with the active participation of users. Therefore, it deals with the analysis of software projects that have been under development and maintenance for several years and which are usually formed by thousands of software artifacts, which are also associated to logs from communications, defect-tracking and software configuration management systems. Accordingly, evolutionary visual software analytics aims to assist software developers and software project managers by means of an integral approach that takes into account knowledge extraction techniques as well as visual representations that make use of interaction techniques and linked views. Consequently, this paper discusses the implementation of an architecture based on the evolutionary visual software analytics process and how it supports knowledge discovery during software maintenance tasks.

关键词： evolutionary visual software analytics visual software analytics visual analytics human-computer interaction software visualization software evolution visualization

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Human-computer interaction in evolutionary visual software analytics

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COMPUTERS IN HUMAN BEHAVIOR 2013年第2期29卷 486-495页

作者： Gonzalez-Torres, Antonio Garcia-Penalvo, Francisco J. Theron, Roberto Univ Salamanca Fac Sci Dept Comp Sci E-37008 Salamanca Spain

software evolution is made up of changes carried out during software maintenance. Such accumulation of changes produces substantial modifications in software projects and therefore vast amounts of relevant facts that are useful for the understanding and comprehension of the software project for making additional changes. In this scenario, evolutionary visual software analytics is aimed to support software maintenance, with the active participation of users, through the understanding and comprehension of software evolution by means of visual analytics and human computer interaction. It is a complex process that takes into account the mining of evolutionary data, the subsequent analysis of the mining process results for producing evolution facts, the use of visualizations supported by interaction techniques and the active participation of users. Hence, this paper explains the evolutionary visual software analytics process, describes a framework proposal and validates such proposal through the definition and implementation of an architecture. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： evolutionary visual software analytics visual software analytics visual analytics Human-computer interaction

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