Mining software development process variations

Bibliographic Details
Main Author: Santos, R.
Publication Date: 2015
Other Authors: Oliveira, T., Brito e Abreu, F.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10071/25107
Summary: Process tailoring aims to customize a software process to better suit the specific needs of an organization when executing a software project or due to a social context in which the process is inserted. Tailoring happens, in general, through variations in the process elements, such as activities, artifacts, and control flows. This paper aims to introduce a technique that uses process mining to uncover elements from the software process that are candidates for tailoring. The proposed approach analyzes the execution logs from several process instances that share a common standard process. As a result, execution traces that differ from the standard process flow are identified and assessed to uncover their variable elements. The proposed technique was evaluated with data extracted from a real software development scenario when a large system was under development for a set of Brazilian Federal Institutes of Education, Science and Technology.
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spelling Mining software development process variationsVariationSoftware processProcess miningProcess tailoringProcess tailoring aims to customize a software process to better suit the specific needs of an organization when executing a software project or due to a social context in which the process is inserted. Tailoring happens, in general, through variations in the process elements, such as activities, artifacts, and control flows. This paper aims to introduce a technique that uses process mining to uncover elements from the software process that are candidates for tailoring. The proposed approach analyzes the execution logs from several process instances that share a common standard process. As a result, execution traces that differ from the standard process flow are identified and assessed to uncover their variable elements. The proposed technique was evaluated with data extracted from a real software development scenario when a large system was under development for a set of Brazilian Federal Institutes of Education, Science and Technology.ACM2022-04-11T08:14:11Z2015-01-01T00:00:00Z20152022-04-11T09:10:36Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10071/25107eng978-1-4503-3196-810.1145/2695664.2696046Santos, R.Oliveira, T.Brito e Abreu, F.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T02:34:11Zoai:repositorio.iscte-iul.pt:10071/25107Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:01:05.765716Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Mining software development process variations
title Mining software development process variations
spellingShingle Mining software development process variations
Santos, R.
Variation
Software process
Process mining
Process tailoring
title_short Mining software development process variations
title_full Mining software development process variations
title_fullStr Mining software development process variations
title_full_unstemmed Mining software development process variations
title_sort Mining software development process variations
author Santos, R.
author_facet Santos, R.
Oliveira, T.
Brito e Abreu, F.
author_role author
author2 Oliveira, T.
Brito e Abreu, F.
author2_role author
author
dc.contributor.author.fl_str_mv Santos, R.
Oliveira, T.
Brito e Abreu, F.
dc.subject.por.fl_str_mv Variation
Software process
Process mining
Process tailoring
topic Variation
Software process
Process mining
Process tailoring
description Process tailoring aims to customize a software process to better suit the specific needs of an organization when executing a software project or due to a social context in which the process is inserted. Tailoring happens, in general, through variations in the process elements, such as activities, artifacts, and control flows. This paper aims to introduce a technique that uses process mining to uncover elements from the software process that are candidates for tailoring. The proposed approach analyzes the execution logs from several process instances that share a common standard process. As a result, execution traces that differ from the standard process flow are identified and assessed to uncover their variable elements. The proposed technique was evaluated with data extracted from a real software development scenario when a large system was under development for a set of Brazilian Federal Institutes of Education, Science and Technology.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2015
2022-04-11T08:14:11Z
2022-04-11T09:10:36Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/25107
url http://hdl.handle.net/10071/25107
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-4503-3196-8
10.1145/2695664.2696046
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dc.publisher.none.fl_str_mv ACM
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