NDLI: Identifying software process management challenges: survey of practitioners in a large global IT company

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Identifying software process management challenges: survey of practitioners in a large global IT company

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Identifying software process management challenges: survey of practitioners in a large global IT company

Content Provider	ACM Digital Library
Author	Padmanabhuni, Srinivas Gupta, Monika Sureka, Ashish Asadullah, Allahbaksh Mohammedali
Abstract	Process mining consists of mining event logs generated from business process execution supported by Information Systems (IS). Process mining of software repositories has diverse applications because vast data is generated during Software Development Life Cycle (SDLC) and archived in IS such as Version Control System (VCS), Peer Code Review (PCR) System, Issue Tracking System (ITS), and mail archives. There is need to explore its applications on different repositories to aid managers in process management. We conduct two phase surveys and interviews with managers in a large, global, IT company. The first survey and in-person interviews identify the process challenges encountered by them that can be addressed by novel applications of process mining. We filter, group and abstract responses formulating 30 generic problem statements. On the basis of process mining type, we classify identified problems to eight categories such as control analysis, organizational analysis, conformance analysis, and preventive analysis. The second survey asks distinct participants the importance of solving identified problems. We calculate proposed Net Importance Metric (NIM) using 1262 ratings from 43 participants. Combined analysis of NIM and first survey responses reveals that the problems mentioned by few practitioners in first survey are considered important by majority in the second survey. We elaborate on possible solutions and challenges for most frequent and important problems. We believe solving these validated problems will help managers in improving project quality and productivity.
Starting Page	346
Ending Page	356
Page Count	11
File Format	PDF
ISBN	9780769555942
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-16
Access Restriction	Subscribed
Subject Keyword	Process mining Qualitative study Software development life cycle Software repositories
Content Type	Text
Resource Type	Article

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