Title | ||
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Ahaan: Software Process Intelligence: Mining Software Process Data for Extracting Actionable Information |
Abstract | ||
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Software Processes consist of a structured set of activities performed during creation and maintenance of software products. The construction and subsequent maintenance of a software is facilitated by several applications and tools. Some of the tools such as Issue Tracking System (ITS) and Version Control System (VCS) can be classified as Process Aware Information System (PAIS) logging data consisting of events, activities, time-stamp, user or actor and context specific information. Such events or trace data generated by information systems used during software construction (as part of the software development process) contains valuable information which can be mined for gaining useful insights and actionable information. Software Process Intelligence (SPI) is an emerging and evolving discipline involving mining and analysis of software processes. This is modeled on the lines of Business Process Intelligence (BPI), but with the focus on software processes and its applicability in software systems. In this paper, we present a generic framework for Software Process Intelligence and some of its applications. |
Year | DOI | Venue |
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2015 | 10.1145/2723742.2723763 | ISEC |
Keywords | Field | DocType |
database applications,mining software repositories,process mining,software process intelligence,automated software engineering,business process intelligence | Personal software process,Systems engineering,Software engineering,Software analytics,Computer science,Package development process,Software system,Software construction,Software development,Goal-Driven Software Development Process,Social software engineering | Conference |
Citations | PageRank | References |
4 | 0.41 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ashish Sureka | 1 | 47 | 7.40 |
Atul Kumar | 2 | 9 | 1.52 |
Shrinath Gupta | 3 | 36 | 4.10 |