Mining Patterns and Violations Using Concept Analysis-Reference-Cited by-同舟云学术

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Mining Patterns and Violations Using Concept Analysis

Published:2015 Issue: Volume: Page:17-38
ISSN:
Container-title:The Art and Science of Analyzing Software Data
language:
Short-container-title:

Author:

Lindig Christian

Publisher

Elsevier

Reference27 articles.

1. Bugs as inconsistent behavior: a general approach to inferring errors in systems code;Engler,2001

2. PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code;Li,2005

3. Formal concept analysis: mathematical foundations;Ganter,1999

4. Fast concept analysis;Lindig,2000

5. Colibri/ML;Lindig,2007

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1. Detecting API-Misuse Based on Pattern Mining via API Usage Graph with Parameters;Theoretical Aspects of Software Engineering;2023

2. MisuseHint: A Service for API Misuse Detection Based on Building Knowledge Graph from Documentation and Codebase;2022 IEEE International Conference on Web Services (ICWS);2022-07

3. Mining API Constraints from Library and Client to Detect API Misuses;2021 28th Asia-Pacific Software Engineering Conference (APSEC);2021-12

4. A Large-scale Study on API Misuses in the Wild;2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST);2021-04

5. Assisting Example-based API Misuse Detection via Complementary Artificial Examples;IEEE Transactions on Software Engineering;2021

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