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Java source-code clustering: Unifying syntactic and semantic features

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Gary TitusAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 37, Issue 6

Pages 1 - 8

https://doi.org/10.1145/2382756.2382766

Published: 23 January 2013 Publication History

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Abstract

This is a report from an international workshop on "Social and Algorithmic Issues in Business Support" (SAIBS), which was organized in conjunction with the 16th ADBIS Conference in Poznan, Poland, on September 17, 2012. The main focus of this workshop was to provide a venue for the discussion whether social stands in opposition to algorithmic or systematic. We analyzed social contribution to business processes taking into account possible benefits and risk factors. Questions raised in collected research and discussion related to how far business could relay on social input and what were the limits or what were the areas where introducing crowdsourced components might increase overall risk value to unacceptable level? Algorithmic approach to observe and collect social behaviour was discussed in the context of internet auctions participants and car drivers equipped in mobile application for instant route planning and collecting feedback cartracking data. Having in mind Andrew Keen's critique of social contribution in Web 2.0-related phenomena we looked for the Wisdom of Crowds[1]. Collected conclusions and further dissemination of research results should lead to an improvement in utilizing social impact on software development and business processes.

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Cited By

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Sadat Jalali NIzadkhah HLotfi S(2019)Multi-objective search-based software modularization: structural and non-structural featuresSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3666-z23:21(11141-11165)Online publication date: 1-Nov-2019
https://dl.acm.org/doi/10.1007/s00500-018-3666-z
Kargar MIsazadeh AIzadkhah H(2017)Semantic-based software clustering using hill climbing2017 International Symposium on Computer Science and Software Engineering Conference (CSSE)10.1109/CSICSSE.2017.8320117(55-60)Online publication date: Oct-2017
https://doi.org/10.1109/CSICSSE.2017.8320117
Isazadeh AIzadkhah HElgedawy IIsazadeh AIzadkhah HElgedawy I(2017)Software Quality Attributes and ModularizationSource Code Modularization10.1007/978-3-319-63346-6_7(217-255)Online publication date: 12-Oct-2017
https://doi.org/10.1007/978-3-319-63346-6_7
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Index Terms

Java source-code clustering: Unifying syntactic and semantic features
1. Applied computing
  1. Enterprise computing
    1. Business process management
2. Software and its engineering

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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 37, Issue 6

November 2012

191 pages

ISSN:0163-5948

DOI:10.1145/2382756

Issue’s Table of Contents

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 23 January 2013

Published in SIGSOFT Volume 37, Issue 6

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Sadat Jalali NIzadkhah HLotfi S(2019)Multi-objective search-based software modularization: structural and non-structural featuresSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3666-z23:21(11141-11165)Online publication date: 1-Nov-2019
https://dl.acm.org/doi/10.1007/s00500-018-3666-z
Kargar MIsazadeh AIzadkhah H(2017)Semantic-based software clustering using hill climbing2017 International Symposium on Computer Science and Software Engineering Conference (CSSE)10.1109/CSICSSE.2017.8320117(55-60)Online publication date: Oct-2017
https://doi.org/10.1109/CSICSSE.2017.8320117
Isazadeh AIzadkhah HElgedawy IIsazadeh AIzadkhah HElgedawy I(2017)Software Quality Attributes and ModularizationSource Code Modularization10.1007/978-3-319-63346-6_7(217-255)Online publication date: 12-Oct-2017
https://doi.org/10.1007/978-3-319-63346-6_7
Isazadeh AIzadkhah HElgedawy IIsazadeh AIzadkhah HElgedawy I(2017)Techniques for the Evaluation of Software ModularizationsSource Code Modularization10.1007/978-3-319-63346-6_6(179-216)Online publication date: 12-Oct-2017
https://doi.org/10.1007/978-3-319-63346-6_6
Isazadeh AIzadkhah HElgedawy IIsazadeh AIzadkhah HElgedawy I(2017)Search-Based Software ModularizationSource Code Modularization10.1007/978-3-319-63346-6_4(115-151)Online publication date: 12-Oct-2017
https://doi.org/10.1007/978-3-319-63346-6_4
Isazadeh AIzadkhah HElgedawy IIsazadeh AIzadkhah HElgedawy I(2017)Hierarchical and Partitional Modularization AlgorithmsSource Code Modularization10.1007/978-3-319-63346-6_3(63-113)Online publication date: 12-Oct-2017
https://doi.org/10.1007/978-3-319-63346-6_3
Isazadeh AIzadkhah HElgedawy IIsazadeh AIzadkhah HElgedawy I(2017)Proximity of Software ArtefactsSource Code Modularization10.1007/978-3-319-63346-6_2(19-61)Online publication date: 12-Oct-2017
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Isazadeh AIzadkhah HElgedawy IIsazadeh AIzadkhah HElgedawy I(2017)IntroductionSource Code Modularization10.1007/978-3-319-63346-6_1(1-18)Online publication date: 12-Oct-2017
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Sharma VAnwer S(2014)Performance AntipatternsProceedings of the 2014 IEEE International Conference on Services Computing10.1109/SCC.2014.103(758-765)Online publication date: 27-Jun-2014
https://dl.acm.org/doi/10.1109/SCC.2014.103
K M AKaulgud VMisra JSengupta STitus GMunshi A(2013)Code clustering workbench2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM)10.1109/SCAM.2013.6648181(31-36)Online publication date: Sep-2013
https://doi.org/10.1109/SCAM.2013.6648181
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