research-article

Customized awareness: recommending relevant external change events

Authors:

Robert J. WalkerAuthors Info & Claims

ICSE '10: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1

Pages 465 - 474

https://doi.org/10.1145/1806799.1806867

Published: 01 May 2010 Publication History

Abstract

It is often assumed that developers' view of their system and its environment is always consistent with everyone else's; in practice, this assumption can be false, as the developer has little practical control over changes to the environments in which their code will be deployed. To proactively respond to such situations, developers must constantly monitor a flood of information involving changes to the deployment environments; unfortunately, the vast majority of this information is irrelevant to the individual developer, and its sheer volume makes it likely that infrequent change events of relevance are overlooked. As a result, errors may arise at deployment time that the developer does not immediately detect.

This paper presents a recommendation approach for filtering the flood of change events on deployment dependencies to those that are most likely to cause problems for the individual developer. The approach is evaluated for its ability to drastically filter irrelevant details, while being unlikely to filter important ones. The relevance of the results is assessed on the basis of deployment problems that would have historically occurred within a set of industrial systems.

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Cited By

Alyahya SAlamer G(2019)Managing Work Dependencies in Open Source Software Platforms2019 International Conference on Electronics, Information, and Communication (ICEIC)10.23919/ELINFOCOM.2019.8706495(1-7)Online publication date: Jan-2019
https://doi.org/10.23919/ELINFOCOM.2019.8706495
Amir OGrosz BGajos KGultchin L(2019)Personalized Change Awareness: Reducing Information Overload in Loosely-Coupled TeamworkArtificial Intelligence10.1016/j.artint.2019.05.005Online publication date: May-2019
https://doi.org/10.1016/j.artint.2019.05.005
Sawant ARobbes RBacchelli A(2019)To react, or not to react: Patterns of reaction to API deprecationEmpirical Software Engineering10.1007/s10664-019-09713-w24:6(3824-3870)Online publication date: 28-May-2019
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cover image ACM Conferences

ICSE '10: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1

May 2010

627 pages

ISBN:9781605587196

DOI:10.1145/1806799

General Chairs:
Jeff Kramer
Imperial College, London, UK
,
Judith Bishop
Microsoft Research, Redmond
,
Program Chairs:
Prem Devanbu
University of California at Davis
,
Sebastian Uchitel
University of Buenos Aires, Argentina and Imperial College London, UK

Copyright © 2010 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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Published: 01 May 2010

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ICSE '10: 32nd International Conference on Software Engineering

May 1 - 8, 2010

Cape Town, South Africa

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Cited By

Alyahya SAlamer G(2019)Managing Work Dependencies in Open Source Software Platforms2019 International Conference on Electronics, Information, and Communication (ICEIC)10.23919/ELINFOCOM.2019.8706495(1-7)Online publication date: Jan-2019
https://doi.org/10.23919/ELINFOCOM.2019.8706495
Amir OGrosz BGajos KGultchin L(2019)Personalized Change Awareness: Reducing Information Overload in Loosely-Coupled TeamworkArtificial Intelligence10.1016/j.artint.2019.05.005Online publication date: May-2019
https://doi.org/10.1016/j.artint.2019.05.005
Sawant ARobbes RBacchelli A(2019)To react, or not to react: Patterns of reaction to API deprecationEmpirical Software Engineering10.1007/s10664-019-09713-w24:6(3824-3870)Online publication date: 28-May-2019
https://doi.org/10.1007/s10664-019-09713-w
Gyori ALegunsen OHariri FMarinov D(2018)Evaluating Regression Test Selection Opportunities in a Very Large Open-Source Ecosystem2018 IEEE 29th International Symposium on Software Reliability Engineering (ISSRE)10.1109/ISSRE.2018.00022(112-122)Online publication date: Oct-2018
https://doi.org/10.1109/ISSRE.2018.00022
Sawant ARobbes RBacchelli A(2018)On the reaction to deprecation of clients of 4 + 1 popular Java APIs and the JDKEmpirical Software Engineering10.1007/s10664-017-9554-923:4(2158-2197)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1007/s10664-017-9554-9
Ma WChen LZhang XZhou YXu BUchitel SOrso ARobillard M(2017)How do developers fix cross-project correlated bugs?Proceedings of the 39th International Conference on Software Engineering10.1109/ICSE.2017.42(381-392)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/ICSE.2017.42
Arora RGoel SMittal R(2017)Supporting collaborative software development over GitHubSoftware—Practice & Experience10.1002/spe.246847:10(1393-1416)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1002/spe.2468
Goyal RFerreira GKästner CHerbsleb J(2017)Identifying unusual commits on GitHubJournal of Software: Evolution and Process10.1002/smr.189330:1Online publication date: 12-Sep-2017
https://doi.org/10.1002/smr.1893
Bogart CKästner CHerbsleb JThung FZimmermann TCleland-Huang JSu Z(2016)How to break an API: cost negotiation and community values in three software ecosystemsProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering10.1145/2950290.2950325(109-120)Online publication date: 1-Nov-2016
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Herbsleb JKastner CBogart C(2016)Intelligently Transparent Software EcosystemsIEEE Software10.1109/MS.2015.15633:1(89-96)Online publication date: 1-Jan-2016
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