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S&DE Atelier: Software Analytics

Description

COURSE OBJECTIVES

To acquire competences needed to analyze complex software systems and improve their maintenance and evolution.

 

COURSE DESCRIPTION
The course is focused on the study of techniques related to the mining and analysis of structured and unstructured data in software repositories, defect prediction and analysis, and empirical software engineering. A solid basis in object-oriented programming and software engineering is required.

 

LEARNING METHODS
Students will apply the acquired expertise in the context of a software analytics project running throughout the semester. Competences related to empirical software engineering will be applied in the context of a mining challenge involving real data from software repositories.

 

EXAMINATION INFORMATION
The final grade is defined based on the assignments submitted by the student throughout the semester.

 

PREREQUISITES

  • Data Design & Modeling
  • Software Design & Modeling

 

REFERENCES

  • Experimentation in Software Engineering. C. Wohlin, P. Runeson, M. Höst, M.C. Ohlsson, B.Regnell, A. Wesslén. Springer, 2012
  • Evolving Software Systems. T. Mens, A. Serebrenik, A. Cleve. Springer, 2012
  • Why programs fail: A Guide to Systematic Debugging. A. Zeller. Elsevier. 2009

People

 

Bavota G.

Course director

Mazuera Rozo A.

Assistant

Additional information

Semester
Fall
Academic year
2020-2021
ECTS
6
Language
English
Education
Master of Science in Software & Data Engineering, Core course, Atélier, 2nd year