Study programme 2022-2023 | Français | ||
Software Evolution | |||
Programme component of Master's in Computer Science (MONS) (day schedule) à la Faculty of Science |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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US-M1-SCINFO-001-M | Optional UE | MENS Tom | S852 - Génie Logiciel |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
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| Français | 30 | 15 | 15 | 0 | 0 | 6 | 6.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
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S-INFO-029 | Software Evolution | 30 | 15 | 15 | 0 | 0 | Q2 | 100.00% |
Programme component |
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Objectives of Programme's Learning Outcomes
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. The technical, social and managerial aspects 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 and open source software ecosystems. They will also have gained knowledge of open problems in the research area of software evolution.
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 have 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 Python programming.
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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S-INFO-029 |
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Mode of delivery
AA | Mode of delivery |
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S-INFO-029 |
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Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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S-INFO-029 | The required learning resources and tools are available on Moodle, the online e-learning platform of the university. |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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S-INFO-029 | The recommended learning resources and tools are available on Moodle, the online e-learning platform of the university. |
Other Recommended Reading
AA | Other Recommended Reading |
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S-INFO-029 | Recommended references will be indicated in the course material. |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
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S-INFO-029 | Authorized |
Term 2 Assessment - type
AA | Type(s) and mode(s) of Q2 assessment |
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S-INFO-029 |
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Term 2 Assessment - comments
AA | Term 2 Assessment - comments |
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S-INFO-029 | The evaluation during Q2 will be based on a combination of multiple criteria: (1) An oral presentation, with supporting slides, of a scientific article on a research theme in the domain of software evolution; (2) The individual evaluation of each student on the basis of his/her participation and the results obtained during the practical sessions; (3) The evaluation of a group assignment that will be carried out outside of the scheduled practical sessions. Each of these criteria will have a weight of between 30% and 40% of the total course grade. The exact weights will be communicated during the first theoretical session of the course. |
Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
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S-INFO-029 |
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Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
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S-INFO-029 | The evaluation of Q3 will be based on the same weighting as during Q2. It will not be possible to improve the grade obtained for the part concerning the evaluation of the "participation to the practical sessions" ne pourra pas etre amélioré en Q3. For the other two parts (oral presentation and group assignment) it will be possible to improve one's grade obtained. |