Abstract | ||
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An in-process view into a software development project's health is critical for its success. However, in services organizations, a typical software development team employs a heterogeneous set of tools based on client requirements through the different phases of the software project. The use of disparate tools with non-compatible outputs makes it very difficult to extract one coherent picture of the project's health and status. Existing project management tools either work at the process layer and rely on manually entered information, or are activity centric, without a holistic view. In this paper, we present PIVoT, a metric-based framework for automated, non-invasive, and in-process data collection and analysis in heterogeneous software project environments, that provides rich, multi-dimensional insights into the project's health and trajectory. Here, we introduce the different analyses, insights and metrics, and discuss their usage in typical software projects.
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Year | DOI | Venue |
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2012 | 10.1109/WETSoM.2012.6226995 | WETSoM |
Field | DocType | ISBN |
Software engineering,Systems engineering,Computer science,Software project management,Project management triangle,Project planning,Software development process,Team software process,Software development,Software framework,Project management | Conference | 978-1-4673-1762-7 |
Citations | PageRank | References |
5 | 0.69 | 6 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
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Vibhu Saujanya Sharma | 1 | 174 | 21.65 |
Vikrant S. Kaulgud | 2 | 5 | 0.69 |