research-article

Potentials and challenges of recommendation systems for software development

Authors:

Hans-Jörg Happel,

Walid MaalejAuthors Info & Claims

RSSE '08: Proceedings of the 2008 international workshop on Recommendation systems for software engineering

Pages 11 - 15

https://doi.org/10.1145/1454247.1454251

Published: 09 November 2008 Publication History

Abstract

By surveying recommendation systems in software development, we found that existing approaches have been focusing on "you might like what similar developers like" scenarios. However structured artifacts and semantically well-defined development activities bear large potentials for further recommendation scenarios. We introduce a novel "landscape" of software development recommendation systems and line out several scenarios for knowledge sharing and collaboration. Basic challenges are improving context-awareness and particularly addressing information providers.

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Cited By

Sas DAvgeriou P(2023)An architectural technical debt index based on machine learning and architectural smellsIEEE Transactions on Software Engineering10.1109/TSE.2023.3286179(1-27)Online publication date: 2023
https://doi.org/10.1109/TSE.2023.3286179
Maalej W(2023)From RSSE to BotSE: Potentials and Challenges Revisited after 15 Years2023 IEEE/ACM 5th International Workshop on Bots in Software Engineering (BotSE)10.1109/BotSE59190.2023.00012(19-22)Online publication date: May-2023
https://doi.org/10.1109/BotSE59190.2023.00012
Mei Y(2022)Improving the Accuracy of Recommendation Systems based on the Relations in Knowledge Graph2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST)10.1109/IAECST57965.2022.10061920(978-982)Online publication date: 9-Dec-2022
https://doi.org/10.1109/IAECST57965.2022.10061920
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Index Terms

Potentials and challenges of recommendation systems for software development
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
      2. Software management
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
  2. Software notations and tools
    1. Software configuration management and version control systems

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cover image ACM Conferences

RSSE '08: Proceedings of the 2008 international workshop on Recommendation systems for software engineering

November 2008

62 pages

ISBN:9781605582283

DOI:10.1145/1454247

Copyright © 2008 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 November 2008

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SIGSOFT '08/FSE-16

Sponsor:

SIGSOFT

SIGSOFT '08/FSE-16: SIGSOFT 2008 -16th International Symposium on the Foundations of Software Engineering

November 9, 2008

Georgia, Atlanta

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Cited By

Sas DAvgeriou P(2023)An architectural technical debt index based on machine learning and architectural smellsIEEE Transactions on Software Engineering10.1109/TSE.2023.3286179(1-27)Online publication date: 2023
https://doi.org/10.1109/TSE.2023.3286179
Maalej W(2023)From RSSE to BotSE: Potentials and Challenges Revisited after 15 Years2023 IEEE/ACM 5th International Workshop on Bots in Software Engineering (BotSE)10.1109/BotSE59190.2023.00012(19-22)Online publication date: May-2023
https://doi.org/10.1109/BotSE59190.2023.00012
Mei Y(2022)Improving the Accuracy of Recommendation Systems based on the Relations in Knowledge Graph2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST)10.1109/IAECST57965.2022.10061920(978-982)Online publication date: 9-Dec-2022
https://doi.org/10.1109/IAECST57965.2022.10061920
Şeker ADiri BArslan H(2021)New Developer Metrics for Open Source Software Development Challenges: An Empirical Study of Project Recommendation SystemsApplied Sciences10.3390/app1103092011:3(920)Online publication date: 20-Jan-2021
https://doi.org/10.3390/app11030920
Di Rocco JDi Ruscio DDi Sipio CNguyen PRubei R(2021)Development of recommendation systems for software engineering: the CROSSMINER experienceEmpirical Software Engineering10.1007/s10664-021-09963-726:4Online publication date: 14-May-2021
https://doi.org/10.1007/s10664-021-09963-7
Felfernig ATran TLe V(2021)Recommender Systems Beyond E-Commerce: Presence and FutureConsumer Happiness: Multiple Perspectives10.1007/978-981-33-6374-8_14(203-230)Online publication date: 6-May-2021
https://doi.org/10.1007/978-981-33-6374-8_14
Schmidmaier MHan ZWeber TLiu YHußmann HPapadopoulos GSamaras GWeibelzahl SJannach DSantos O(2019)Real-Time Personalization in Adaptive IDEsAdjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization10.1145/3314183.3324975(81-86)Online publication date: 6-Jun-2019
https://dl.acm.org/doi/10.1145/3314183.3324975
Yu XHe YFu YXin YDu JNi W(2019)Cross-Domain Developer Recommendation Algorithm Based on Feature MatchingComputer Supported Cooperative Work and Social Computing10.1007/978-981-15-1377-0_35(443-457)Online publication date: 14-Nov-2019
https://doi.org/10.1007/978-981-15-1377-0_35
Grambow GOberhauser RReichert M(2018)Providing Automated Holistic Process and Knowledge Assistance During Software ModernizationComputer Systems and Software Engineering10.4018/978-1-5225-3923-0.ch015(351-395)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-3923-0.ch015
Aghajani E(2018)Context-Aware Software Documentation2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME.2018.00090(727-731)Online publication date: Sep-2018
https://doi.org/10.1109/ICSME.2018.00090
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