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Towards assisting developers in API usage by automated recovery of complex temporal patterns

  • Published:2020-03 Issue: Volume:119 Page:106213
  • ISSN:0950-5849
  • Container-title:Information and Software Technology
  • language:en
  • Short-container-title:Information and Software Technology

Author:

Saied Mohamed Aymen,Raelijohn ErickORCID,Batot Edouard,Famelis Michalis,Sahraoui Houari

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference43 articles.

1. Detection techniques of dead code: systematic literature review;Bastos,2016

2. Detection of software evolution phases based on development activities;Benomar,2015

3. Investigating order information in api-usage patterns: a benchmark and empirical study;Çergani,2018

4. Searching connected api subgraph via text phrases;Chan,2012

5. Counterexample-guided abstraction refinement;Clarke,2000

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1. Client-Specific Upgrade Compatibility Checking via Knowledge-Guided Discovery;ACM Transactions on Software Engineering and Methodology;2023-05-26

2. An empirical study on API usages from code search engine and local library;Empirical Software Engineering;2023-04-13

3. Unraveling Library Upgrade Failures: An Empirical Study on the Impact of Client-Specific Usages;2023

4. Improving microservices extraction using evolutionary search;Information and Software Technology;2022-11

5. A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications;The International Conference on Evaluation and Assessment in Software Engineering 2022;2022-06-13
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