TMPA-2021: Paper Submission and Proceedings

Topics Of Interest

The conference invites papers of original research on Software Testing, Machine Learning and Complex Process Analysis and the intersection of the three, as well as reports of best industry practices, practical and research-related challenges. Topics of interest include (but are not limited to) the following:

  • AI and Machine Learning in Software Testing
  • Data-driven Software Testing
  • High-load and High-availability Systems
  • Process Mining
  • Static Program Analysis and Verification
  • System Log Analysis
  • Testing and Analysis of Parallel and Distributed Systems
  • Tools for Software Analysis, Testing and Verification
  • Visualization of Complex Data

This year, authors are invited to submit the following paper formats: 

  • Full Papers (not exceeding 12 pages) 
  • Short Papers (up to 6 pages in length)

Our poster session may be back by popular demand this year as well.

The conference is seeking original and high-quality contributions that have not yet been published and are not currently under review by other journals or peer-reviewed conferences. The submitted papers should be written in English and provide sufficient detail to allow the Program Committee to assess the merits of the paper on its technical quality, relevance to the conference topics, originality, significance, and clarity of presentation. Each paper will be reviewed by at least three PC members or external expert reviewers.

Publication

Springer

TMPA-2021 proceedings will be published in Springer CCIS (Communications in Computer and Information Science) and will be indexed by Scopus and DBLP digital libraries. Please pay attention to the publisher’s Author’s Instructions.

Papers should be submitted through the EasyChair conference management system. The first submissions should contain an abstract (up to 500 symbols) and a set of keywords describing the paper.