Objectives of Programme's Learning Outcomes

• Carry out major projects.
• Independently carry out a major project related to mathematics or mathematical applications. This entails taking into account the complexity of the project, its objectives and the resources available to carry it out.
• Give constructive criticism on the quality and progress of a project.
• Work in teams and, in particular, communicate effectively and with respect for others.
• Appropriately use bibliographic resources for the intended purpose.
• Present the objectives and results of a project orally and in writing.
• Apply innovative methods to solve an unprecedented problem in mathematics or within its applications.
• Appropriately make use of computer tools, as required by developing a small programme.
• Communicate clearly.
• Communicate the results of mathematical or related fields, both orally and in writing, by adapting to the public.
• make a structured and reasoned presentation of the content and principles underlying a piece of work, mobilised skills and the conclusions it leads to.
• Have sufficient knowledge of English for basic scientific communication.
• Adapt to different contexts.
• Have developed a high degree of independence to acquire additional knowledge and new skills to evolve in different contexts.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

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 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 processes, tools, techniques, principles and best practices of software evolution, software quality improvement, collaborative software development, social coding, continuous integration, automation techniques, and open source software ecosystems.

UE Content: description and pedagogical relevance

This teaching unit offers a balanced mix of lectures, student presentations, practical exercises and an assignment that puts software evolution activities into practice. Software evolution encompasses all the activities, methods, tools and processes to support the software project life cycle after the initial software product release. Throughout the course, students will learn to follow a (collaborative) development process. They will learn how to maintain and improve software quality using techniques such as bad smell detection, technical debt reduction, software testing, refactoring, restructuring and re-engineering, and security vulnerability analysis. They will also become familiar with various techniques such as software versioning, software product line engineering, continuous integration and deployment, software configuration management, automation tools, software ecosystems, software repository mining and empirical software engineering.

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.