Objectives of Programme's Learning Outcomes

• Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
• Manage large-scale software development projects.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
• Demonstrate independence and their ability to work alone or in teams.
• Manage research, development and innovation.
• Organise and lead a research, development or innovation project to completion.
• Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
• Master communication techniques.
• Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
• Adapt their communication to a variety of audiences.
• Where possible, communicate in a foreign language.
• Develop and integrate a high degree of autonomy.
• Aquire new knowledge independently.

Learning Outcomes of UE

This course is taught in English. By the end of the course, students will have learned what software evolution is, why it is inevitable, how it fits into the field of software engineering, and how it can reasonably be achieved. Some of the technical, social and managerial research challenges of software maintenance and evolution will be covered. Students will have gained practical experience of the tools, techniques, principles and best practices of software evolution, software quality improvement, collaborative software development, social coding, continuous integration and open source software ecosystems.

UE Content: description and pedagogical relevance

The course provides a balanced mix of lectures, student presentations, practical exercices, and a project assignment that puts software evolution activities into practice. Software evolution entails all activities, methods, tools and processes for supporting the life cycle of software project after the first software product release. Throughout the course students will learn how to analyse, visualise and assess the quality of individual software systems and software ecosystems. They will learn to maintain and improve software quality using techniques such as bad smell detection, technical debt reduction, software testing, refactoring, restructuring and reengineering. They will also become acquainted with a variety of techniques such as software versioning, software product line engineering, continuous integration and deployment, software configuration management, (open source) software ecosystems, and software repository mining.

Prior Experience

Students should already have acquired a basic knowledge of software engineering principles. They should also be able to program in the Java programming language and have a basic knowledge of data analysis with Python.