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SoftwareMining 2018: Proceedings of the 7th International Workshop on Software Mining
ACM2018 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
ASE '18: 33rd ACM/IEEE International Conference on Automated Software Engineering Montpellier France 3 September 2018
ISBN:
978-1-4503-5975-7
Published:
03 September 2018
Sponsors:
SIGAI, CNRS, SIGSOFT, IEEE-CS
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Abstract

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SESSION: Software Mining
research-article
Public Access
Extracting implicit programming rules: comparing static and dynamic approaches

Programs often follow implicit programming rules, such as, function call A must be followed by function call B. Rules of such kinds are rarely documented by developers. Nevertheless, programming rules play an important role in software testing and ...

short-paper
Who plays with whom? ... and how? mining API interaction patterns from source code

State-of-science automated software engineering techniques increasingly rely on specification mining to provide API usage patterns for numerous applications, e.g. context sensitive code-completion, bug-detection or bug-fixing techniques. While some ...

research-article
Within-ecosystem issue linking: a large-scale study of rails

Social coding facilitates the sharing of ideas within and between projects in an open source ecosystem. Bug fixing and triaging, in particular, are aided by linking issues in one project to potentially related issues within it or in other projects in ...

short-paper
Commits as a basis for API misuse detection

Programmers frequently make use of APIs. However, these usages can result in unintended, negative behavior, when developers are not aware of the correct usage or side effects of that API. Detecting those API misuses by means of automatic testing is ...

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  1. Proceedings of the 7th International Workshop on Software Mining

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