Duplicate issue detection for the android open source project

Kasthuri Jayarajah; Meera Radhakrishnan; Camellia Zakaria

doi:10.1145/2975961.2975965

Duplicate issue detection for the android open source project

Kasthuri Jayarajah, Meera Radhakrishnan, Camellia Zakaria

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The Android Open Source Project(AOSP) has seen tremendous traction over the past decade, and as such, the bug repository is growing in scale. With this growth, the effort required for project members to triage incoming new reports to identify whether it is a duplicate issue that has already been addressed, or receiving attention, is also on the rise. In this work, we create dataset of issues from the Android issue tracker, and use standard IR techniques such as VSM and LDA to understand their capability in such similar issue retrieval. Further, we combine VSM and LDA to evaluate its usefulness. We find that, overall, VSM performs better with this dataset.

Original language	English (US)
Title of host publication	SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016
Editors	Lucia Lucia, Ming Li, Xiaoyin Wang
Publisher	Association for Computing Machinery, Inc
Pages	24-31
Number of pages	8
ISBN (Print)	9781450345118
DOIs	https://doi.org/10.1145/2975961.2975965
State	Published - Sep 3 2016
Externally published	Yes
Event	5th International Workshop on Software Mining, SoftwareMining 2016 - co-located with ASE 2016 - Singapore, Singapore Duration: Sep 3 2016 → …

Publication series

Name	SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016

Conference

Conference	5th International Workshop on Software Mining, SoftwareMining 2016 - co-located with ASE 2016
Country/Territory	Singapore
City	Singapore
Period	9/3/16 → …

All Science Journal Classification (ASJC) codes

Software
Computational Theory and Mathematics

Keywords

Android Open Source Project
Duplicate Issue Detection
LDA
VSM

Access to Document

10.1145/2975961.2975965

Cite this

Jayarajah, K., Radhakrishnan, M., & Zakaria, C. (2016). Duplicate issue detection for the android open source project. In L. Lucia, M. Li, & X. Wang (Eds.), SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016 (pp. 24-31). (SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2975961.2975965

Jayarajah, Kasthuri ; Radhakrishnan, Meera ; Zakaria, Camellia. / Duplicate issue detection for the android open source project. SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016. editor / Lucia Lucia ; Ming Li ; Xiaoyin Wang. Association for Computing Machinery, Inc, 2016. pp. 24-31 (SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016).

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title = "Duplicate issue detection for the android open source project",

abstract = "The Android Open Source Project(AOSP) has seen tremendous traction over the past decade, and as such, the bug repository is growing in scale. With this growth, the effort required for project members to triage incoming new reports to identify whether it is a duplicate issue that has already been addressed, or receiving attention, is also on the rise. In this work, we create dataset of issues from the Android issue tracker, and use standard IR techniques such as VSM and LDA to understand their capability in such similar issue retrieval. Further, we combine VSM and LDA to evaluate its usefulness. We find that, overall, VSM performs better with this dataset.",

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Jayarajah, K, Radhakrishnan, M & Zakaria, C 2016, Duplicate issue detection for the android open source project. in L Lucia, M Li & X Wang (eds), SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016. SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016, Association for Computing Machinery, Inc, pp. 24-31, 5th International Workshop on Software Mining, SoftwareMining 2016 - co-located with ASE 2016, Singapore, Singapore, 9/3/16. https://doi.org/10.1145/2975961.2975965

Duplicate issue detection for the android open source project. / Jayarajah, Kasthuri; Radhakrishnan, Meera; Zakaria, Camellia.
SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016. ed. / Lucia Lucia; Ming Li; Xiaoyin Wang. Association for Computing Machinery, Inc, 2016. p. 24-31 (SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Jayarajah K, Radhakrishnan M, Zakaria C. Duplicate issue detection for the android open source project. In Lucia L, Li M, Wang X, editors, SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016. Association for Computing Machinery, Inc. 2016. p. 24-31. (SoftwareMining 2016 - Proceedings of the 5th International Workshop on Software Mining, co-located with ASE 2016). doi: 10.1145/2975961.2975965

Duplicate issue detection for the android open source project

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All Science Journal Classification (ASJC) codes

Keywords

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