posted by organizer: ryavorsky || 4159 views || tracked by 12 users: [display]

TMPA 2019 : Software Testing, Machine Learning and Complex Process Analysis

FacebookTwitterLinkedInGoogle

Link: https://tmpaconf.org/
 
When Nov 7, 2019 - Nov 9, 2019
Where Tbilisi, Georgia
Submission Deadline Aug 24, 2019
Notification Due Sep 30, 2019
Final Version Due Nov 10, 2019
Categories    computer science   software testing   machine learning   complex process analysis
 

Call For Papers

International Conference on Software Testing, Machine Learning and Complex Process Analysis (TMPA-2019) will take place in Tbilisi, Georgia on 7 - 9 November 2019. The conference will be focused on application of modern methods of data science to the analysis of software quality. The organizer of this year TMPA event is Ivane Javakhishvili Tbilisi State University, see https://www.tsu.ge/ .

The conference program will include plenary lectures, contributed talks selected by the Program Committee, and poster session with presentations of on-going projects, new ideas or tools.

*Conference Topics*

The challenges of software efficiency and correctness are key for the majority of knowledge-intensive industries in modern economy, including IT, financial sector, transportation, medicine, high-tech industries, and many others. The development of new instruments and methods of complex process analysis as well as the modification of existing ones is one of the necessary prerequisites to introduce innovation.
The purpose of the conference is promoting cutting edge innovations in software testing, modeling and analysis.

The program will include, but won’t be limited to, the following topics:

● 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;
● vizualization of complex data.

*Key Dates*

● 24th August – deadline for papers;
● 30th September – list of accepted papers is published;
● 7rd-9th November – TMPA-2019 Conference.


*Papers Submission & Proceedings*

The proceedings will be published in the Springer Communications in Computer and Information Science series (confirmed) indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago and Scopus.

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
● Full papers describing a completed research up to 12 pages of content with references.
● Short papers describing an ongoing research up to 6 pages of content with references.

The papers should be formatted according to the Springer LNCS style and submitted through the EasyChair conference management system
https://easychair.org/conferences/?conf=tmpa2019

*Committees*

● Anna Kalenkova (University of Melbourne), program co-chair
● Jose A. Lozano (University of the Basque Country), program co-chair
● Rostislav Yavorskiy (Exactpro and Surgut State University), program co-chair

● Natia Sirbiladze, local organizing chair

Related Resources

AAAI 2020   The Thirty-Fourth AAAI Conference on Artificial Intelligence
ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
ICICT 2020   5th Scopus- Indexed IEEE International Conference on Inventive Computation Technologies
ICMLA 2019   18th IEEE International Conference on Machine Learning and Applications
ICAIML 2019   【EI SCOPUS CPCI】2019 1st International Conference on Artificial Intelligence and Machine Learning
IWUAS 2020   2020 International Workshop on Unmanned Aircraft Systems (IWUAS 2020)
Data Science 2020   3nd Annual International Great Lakes Data Science Symposium
DASFAA 2020   Database Systems for Advanced Applications
ICIIP 2019   【ACM ICPS EI SCOPUS】2019 4th International Conference on Intelligent Information Processing
FAIML 2020-Ei Compendex & Scopus 2020   2020 2nd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2020)