Anna Gromova and Olga Moskaleva, Exactpro Researchers, participated in the Sixth International Conference on Analysis of Images, Social Networks and Texts, AIST 2017
AIST is a conference on the Analysis of Images, Social Networks, and Texts. This year, it was held at Moscow Polytechnic University on June 27-29. The conference is intended for computer scientists and industry professionals whose research interests involve applications of data mining and machine learning techniques to various problem domains: image processing, analysis of social networks, and natural language processing. AIST boasts its interdisciplinary nature, bridging the gap between researchers and practitioners.
All research papers submitted to the conference went through a double-blind reviewing process and were reviewed by at least three program committee members. The accepted papers were presented by their authors on July 27 and 28.
Anna Gromova’s research on Using Cluster Analysis for Characteristics Detection in Software Defect Reports was among this year’s accepted papers. Anna, who is an Exactpro researcher, presented her work in the General Topics of Data Analysis section of the conference.
Anna’s research focuses on the metrics and predictions of defect reports. In her research paper, Anna explores the workings of how extended bug attribute analysis can effectively reveal software weaknesses and improve the testing strategy, and how machine learning techniques can facilitate the process of building an automated recommendation system for project managers and QA team leads. Such a system would help them get a better picture of the risks associated with software defects, as well as obtain more accurate information about a bug's lifecycle.
“In future, we are planning to build an automated recommendation system based on the cluster analysis of our defect reports. A system like that could be used by all QA team members to improve the existing processes of developing the testing strategies and plans”, says Anna Gromova, Exactpro Researcher.