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Parseweb: a programmer assistant for reusing open source code on the web

Thummalapenta, Suresh, Xie, Tao·2007·Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering

Abstract

Programmers commonly reuse existing frameworks or libraries to reduce software development efforts. One common problem in reusing the existing frameworks or libraries is that the programmers know what type of object that they need, but do not know how to get that object with a specific method sequence. To help programmers to address this issue, we have developed an approach that takes queries of the form "Source object type → Destination object type" as input, and suggests relevant method-invocation sequences that can serve as solutions that yield the destination object from the source object given in the query. Our approach interacts with a code search engine (CSE) to gather relevant code samples and performs static analysis over the gathered samples to extract required sequences. As code samples are collected on demand through CSE, our approach is not limited to queries of any specific set of frameworks or libraries. We have implemented our approach with a tool called PARSEWeb, and conducted four different evaluations to show that our approach is effective in addressing programmer's queries. We also show that PARSEWeb performs better than existing related tools: Prospector and Strathcona

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Metadata

Authors
Thummalapenta, S., & Xie, T.
Venue
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Publisher
ACM
Published
2007-11-05
Pages
204-213
OpenAlex
W2106259924
Cited by
391
References
0
FWCI
14.54
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Parseweb: a programmer assistant for reusing open source code on the web. https://app.cochat.ai/papers/10.1145/1321631.1321663
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Thummalapenta, S., & Xie, T. (2007). Parseweb: a programmer assistant for reusing open source code on the web. Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering. https://doi.org/10.1145/1321631.1321663

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