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Hipikat: recommending pertinent software development artifacts

Cubranic, D., Murphy, G.C.·2003·25th International Conference on Software Engineering, 2003. Proceedings.

Abstract

A newcomer to a software project must typically come up-to-speed on a large, varied amount of information about the project before becoming productive. Assimilating this information in the open-source context is difficult because a newcomer cannot rely on the mentoring approach that is commonly used in traditional software developments. To help a newcomer to an open-source project become productive faster, we propose Hipikat, a tool that forms an implicit group memory from the information stored in a project's archives, and that recommends artifacts from the archives that are relevant to a task that a newcomer is trying to perform. To investigate this approach, we have instantiated the Hipikat tool for the Eclipse open-source project. In this paper we describe the Hipikat tool, we report on a qualitative study conducted with a Hipikat mock-up on a medium-sized in-house project, and we report on a case study in which Hipikat recommendations were evaluated for a task on Eclipse.

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Metadata

Authors
Cubranic, D., & Murphy, G. C.
Venue
25th International Conference on Software Engineering, 2003. Proceedings.
Publisher
IEEE
Published
2003
Pages
408-418
ISSN
0270-5257 (ISSN-L)
OpenAlex
W4241947741
Cited by
174
References
1
FWCI
8.60
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hipikat: recommending pertinent software development artifacts. https://app.cochat.ai/papers/10.1109/icse.2003.1201219
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Cubranic, D., & Murphy, G. C. (2003). Hipikat: recommending pertinent software development artifacts. 25th International Conference on Software Engineering, 2003. Proceedings. https://doi.org/10.1109/icse.2003.1201219

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