Cassandra: Proactive Conflict Minimization through Optimized Task Scheduling.

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Title: Cassandra: Proactive Conflict Minimization through Optimized Task Scheduling.
Authors: Kasi, Bakhtiar Khan1 bkasi@cse.unl.edu, Sarma, Anita1 asarma@cse.unl.edu
Source: ICSE: International Conference on Software Engineering. Feb2013, p732-741. 10p.
Subjects: Computer scheduling, Sequential scheduling, Virtual prototypes, Open source software, Computer software, Software engineering
Abstract: Software conflicts arising because of conflicting changes are a regular occurrence and delay projects. The main precept of workspace awareness tools has been to identify potential conflicts early, while changes are still small and easier to resolve. However, in this approach conflicts still occur and require developer time and effort to resolve. We present a novel conflict minimization technique that proactively identifies potential conflicts, encodes them as constraints, and solves the constraint space to recommend a set of conflict-minimal development paths for the team. Here we present a study of four open source projects to characterize the distribution of conflicts and their resolution efforts. We then explain our conflict minimization technique and the design and implementation of this technique in our prototype, Cassandra. We show that Cassandra would have successfully avoided a majority of conflicts in the four open source test subjects. We demonstrate the efficiency of our approach by applying the technique to a simulated set of scenarios with higher than normal incidence of conflicts. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Cassandra: Proactive Conflict Minimization through Optimized Task Scheduling.
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  Data: <searchLink fieldCode="AR" term="%22Kasi%2C+Bakhtiar+Khan%22">Kasi, Bakhtiar Khan</searchLink><relatesTo>1</relatesTo><i> bkasi@cse.unl.edu</i><br /><searchLink fieldCode="AR" term="%22Sarma%2C+Anita%22">Sarma, Anita</searchLink><relatesTo>1</relatesTo><i> asarma@cse.unl.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. Feb2013, p732-741. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+scheduling%22">Computer scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Sequential+scheduling%22">Sequential scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+prototypes%22">Virtual prototypes</searchLink><br /><searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink>
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  Data: Software conflicts arising because of conflicting changes are a regular occurrence and delay projects. The main precept of workspace awareness tools has been to identify potential conflicts early, while changes are still small and easier to resolve. However, in this approach conflicts still occur and require developer time and effort to resolve. We present a novel conflict minimization technique that proactively identifies potential conflicts, encodes them as constraints, and solves the constraint space to recommend a set of conflict-minimal development paths for the team. Here we present a study of four open source projects to characterize the distribution of conflicts and their resolution efforts. We then explain our conflict minimization technique and the design and implementation of this technique in our prototype, Cassandra. We show that Cassandra would have successfully avoided a majority of conflicts in the four open source test subjects. We demonstrate the efficiency of our approach by applying the technique to a simulated set of scenarios with higher than normal incidence of conflicts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 732
    Subjects:
      – SubjectFull: Computer scheduling
        Type: general
      – SubjectFull: Sequential scheduling
        Type: general
      – SubjectFull: Virtual prototypes
        Type: general
      – SubjectFull: Open source software
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Software engineering
        Type: general
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      – TitleFull: Cassandra: Proactive Conflict Minimization through Optimized Task Scheduling.
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            NameFull: Kasi, Bakhtiar Khan
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            NameFull: Sarma, Anita
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            – D: 01
              M: 02
              Text: Feb2013
              Type: published
              Y: 2013
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            – TitleFull: ICSE: International Conference on Software Engineering
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