Towards an Improvement of Bug Report Summarization Using Two-Layer Semantic Information Article Swipe
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1587/transinf.2017kbp0016
Bug report summarization has been explored in past research to help developers comprehend important information for bug resolution process. As text mining technology advances, many summarization approaches have been proposed to provide substantial summaries on bug reports. In this paper, we propose an enhanced summarization approach called TSM by first extending a semantic model used in AUSUM with the anthropogenic and procedural information in bug reports and then integrating the extended semantic model with the shallow textual information used in BRC. We have conducted experiments with a dataset of realistic software projects. Compared with the baseline approaches BRC and AUSUM, TSM demonstrates the enhanced performance in achieving relative improvements of 34.3% and 7.4% in the F1 measure, respectively. The experimental results show that TSM can effectively improve the performance.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1587/transinf.2017kbp0016
- https://www.jstage.jst.go.jp/article/transinf/E101.D/7/E101.D_2017KBP0016/_pdf
- OA Status
- diamond
- Cited By
- 16
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2811364126
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2811364126Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1587/transinf.2017kbp0016Digital Object Identifier
- Title
-
Towards an Improvement of Bug Report Summarization Using Two-Layer Semantic InformationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-06-30Full publication date if available
- Authors
-
Cheng‐Zen Yang, Cheng-Min AO, Y.K. ChungList of authors in order
- Landing page
-
https://doi.org/10.1587/transinf.2017kbp0016Publisher landing page
- PDF URL
-
https://www.jstage.jst.go.jp/article/transinf/E101.D/7/E101.D_2017KBP0016/_pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.jstage.jst.go.jp/article/transinf/E101.D/7/E101.D_2017KBP0016/_pdfDirect OA link when available
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Automatic summarization, Computer science, Baseline (sea), Information retrieval, Process (computing), Layer (electronics), Data science, Data mining, Oceanography, Organic chemistry, Chemistry, Geology, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1, 2023: 1, 2022: 4, 2021: 4Per-year citation counts (last 5 years)
- References (count)
-
18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.effectively | 125 |
| abstract_inverted_index.experiments | 84 |
| abstract_inverted_index.information | 14, 62, 77 |
| abstract_inverted_index.integrating | 68 |
| abstract_inverted_index.performance | 104 |
| abstract_inverted_index.substantial | 32 |
| abstract_inverted_index.demonstrates | 101 |
| abstract_inverted_index.experimental | 119 |
| abstract_inverted_index.improvements | 108 |
| abstract_inverted_index.performance. | 128 |
| abstract_inverted_index.anthropogenic | 59 |
| abstract_inverted_index.respectively. | 117 |
| abstract_inverted_index.summarization | 2, 25, 44 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.93291088 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |