Explainable Software Analytics | Presentation

Explainable Sofware
Analytics
H.K., Dam, T. Tran and, A., Ghose, “Explainable software
analytics,” In Proceedings of the 40th International Conference on
Software Engineering: New Ideas and Emerging Results, vol. 12,
no. 6, pp. 53-56, 2018.

 The major identification of the investigation
is to evaluate the software analytics and
review an article based on artificial neural
networks.
 The chosen paper is “Explainable Software
Analytics” which was presented by Hoa,
Truyen and Aditya in the year 2018 [1].
 This presentation will cover intention of
paper, research methods, issues included,
results and findings.
Introduction

 The authors found that software analytics is
a key topic for the research as companies
are moving towards such models and
systems.
 Software analytics models are based on
machine learning and AI programs that
help to defect prediction [2].
 Research question: How might companies
evaluate explainability of software analytics
frameworks?
Intention and content of the
paper

 The intention of the paper is to evaluate the
significance of software analytic models.
 This paper provided depth information
about software analytics that can help to
enhance skills.
 The writers examined the key
characteristics of explainable software
analytics.
Intention and content of
paper