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Nirikshan: process mining software repositories to identify inefficiencies, imperfections, and enhance existing process capabilities

Author:

Monika GuptaAuthors Info & Claims

ICSE Companion 2014: Companion Proceedings of the 36th International Conference on Software Engineering

Pages 658 - 661

https://doi.org/10.1145/2591062.2591080

Published: 31 May 2014 Publication History

Abstract

Process mining is to extract knowledge about business processes from data stored implicitly in ad-hoc way or explicitly by information systems. The aim is to discover runtime process, analyze performance and perform conformance verification, using process mining tools like ProM and Disco, for single software repository and processes spanning across multiple repositories. Application of process mining to software repositories has recently gained interest due to availability of vast data generated during software development and maintenance. Process data are embodied in repositories which can be used for analysis to improve the efficiency and capability of process, however, involves a lot of challenges which have not been addressed so far. Project team defines workflow, design process and policies for tasks like issue tracking (defect or feature enhancement), peer code review (review the submitted patch to avoid defects before they are injected) etc. to streamline and structure the activities. The reality may not be the same as defined because of imperfections so the extent of non-conformance needs to be measured. We propose a research framework `Nirikshan' to process mine the data of software repositories from multiple perspectives like process, organizational, data and time. We apply process mining on software repositories to derive runtime process map, identify and remove inefficiencies and imperfections, extend the capabilities of existing software engineering tools to make them more process aware, and understand interaction pattern between various contributors to improve the efficiency of project.

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Cited By

Qamar KSülün ETüzün E(2022)Taxonomy of bug tracking process smellsInformation and Software Technology10.1016/j.infsof.2022.106972150:COnline publication date: 4-Aug-2022
https://dl.acm.org/doi/10.1016/j.infsof.2022.106972
Vidoni M(2022)A systematic process for Mining Software RepositoriesInformation and Software Technology10.1016/j.infsof.2021.106791144:COnline publication date: 9-May-2022
https://dl.acm.org/doi/10.1016/j.infsof.2021.106791
Barros DHorita FWiese ISilva K(2021)A Mining Software Repository Extended Cookbook: Lessons learned from a literature reviewProceedings of the XXXV Brazilian Symposium on Software Engineering10.1145/3474624.3474627(1-10)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3474624.3474627
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Nirikshan: process mining software repositories to identify inefficiencies, imperfections, and enhance existing process capabilities

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Published In

cover image ACM Conferences

ICSE Companion 2014: Companion Proceedings of the 36th International Conference on Software Engineering

May 2014

741 pages

ISBN:9781450327688

DOI:10.1145/2591062

General Chair:
Pankaj Jalote
IIIT-Delhi, India
,
Program Chairs:
Lionel Briand
University of Luxembourg, Luxembourg
,
André van der Hoek
University of California, Irvine, USA

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSOFT: ACM Special Interest Group on Software Engineering

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TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

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Published: 31 May 2014

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ICSE '14: 36th International Conference on Software Engineering

May 31 - June 7, 2014

Hyderabad, India

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Cited By

Qamar KSülün ETüzün E(2022)Taxonomy of bug tracking process smellsInformation and Software Technology10.1016/j.infsof.2022.106972150:COnline publication date: 4-Aug-2022
https://dl.acm.org/doi/10.1016/j.infsof.2022.106972
Vidoni M(2022)A systematic process for Mining Software RepositoriesInformation and Software Technology10.1016/j.infsof.2021.106791144:COnline publication date: 9-May-2022
https://dl.acm.org/doi/10.1016/j.infsof.2021.106791
Barros DHorita FWiese ISilva K(2021)A Mining Software Repository Extended Cookbook: Lessons learned from a literature reviewProceedings of the XXXV Brazilian Symposium on Software Engineering10.1145/3474624.3474627(1-10)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3474624.3474627
Qamar KSulun ETuzun E(2021)Towards a Taxonomy of Bug Tracking Process Smells: A Quantitative Analysis2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA53835.2021.00026(138-147)Online publication date: Sep-2021
https://doi.org/10.1109/SEAA53835.2021.00026
Jaqueline Urrea-Contreras SFlores-Rios BAngelica Astorga-Vargas MIbarra-Esquer J(2021)Process Mining Perspectives in Software Engineering: A Systematic Literature Review2021 Mexican International Conference on Computer Science (ENC)10.1109/ENC53357.2021.9534824(1-8)Online publication date: 9-Aug-2021
https://doi.org/10.1109/ENC53357.2021.9534824
Garcia CMeincheim AFaria Junior EDallagassa MSato DCarvalho DSantos EScalabrin E(2019)Process mining techniques and applications – A systematic mapping studyExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.05.003133:C(260-295)Online publication date: 1-Nov-2019
https://dl.acm.org/doi/10.1016/j.eswa.2019.05.003
Arias MMarques MRojas E(2018)Using Process Mining in Agile Software Development Methodologies: A Systematic Mapping Study2018 XLIV Latin American Computer Conference (CLEI)10.1109/CLEI.2018.00072(552-561)Online publication date: Oct-2018
https://doi.org/10.1109/CLEI.2018.00072

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