Study programme 2020-2021 | Français | ||
Software Evolution | |||
Programme component of Master's in Mathematics à la Faculty of Science |
Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3 |
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Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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US-M1-SCMATH-010-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. At the end of this course, the students should know what software evolution is, why it is inevitable, how it fits in the domain of software engineering, and how one might reasonably and reliably go about performing it. All essential technical and managerial aspects of software maintenance and evolution will be covered. The students will have gained practical experience with tools, techniques, principles and best practices for software evolution and software quality improvement. They will also have learned about the open problems in the research domain of software evolution.
Content of UE
The course will be a mix of lectures, student presentations, practical exercices, and a small student project related to the activities of software evolution. Software evolution (also known as software maintenance) is the collection of all activities, methods, tools and processes for supporting the life cycle of software after the first release of a software product. Throughout the course we will explore how to analyse, visualise and assess the quality of software. We will learn how to maintain or improve this quality using techniques such as bad smell detection, technical debt reduction, software testing, refactoring, restructuring and reengineering. Finally, we will become acquainted with a variety of techniques such as software versioning, software product line engineering, continuous integration, software configuration management, (open source) software ecosystems, and software repository mining.
Prior Experience
Good knowledge of software project management and principles of software engineering.
Being able to program in an object-oriented programming language.
Type of Assessment for UE in Q2
Q2 UE Assessment Comments
Term 2 will be assessed on the basis of the following weighted evaluation:
- Evaluation of a work assignment carried out by the students (in groups of 1 to 3 persons): 40% of the final note
- Oral presentation (on the basis of slides produced by the student) of the summary of a scientific article or book chapter: 30% of the final note
- Written examination : 30% of the final note. (Depending on the circumstances, it is possible that the exam will be replaced by an assignment, but only under mutual agreement between the students and the teacher.)
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
Term 3 will be assessed using the same weighted evaluation as Term 2.
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 Reading
AA | |
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S-INFO-029 |
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 Reading
AA | |
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S-INFO-029 |
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 | Tom Mens, Alexander Serebrenik, Anthony Cleve (editors). Evolving Software Systems. Springer, 2014 Tom Mens and Serge Demeyer (editors). Software Evolution, Springer, 2008 Nazim H. Madhavji and Juan F. Ramil and Dewayne E. Perry (editors). Software Evolution and Feedback: Theory and Practice, Wiley, 2006. ISBN 0-470-87180-6 Penny A. Grubb and Armstrong A. Takang. Software Maintenance: Concepts and Practice (2nd edition), World Scientific Pub Co, 2003. ISBN 981-238425-1 Hongji Yang and Martin Ward. Succesful Evolution of Software Systems, Artech House, 2003. ISBN 158-053349-3 Thomas M. Pigoski. Practical Software Maintenance: Best Practices for Managing your Software Investment, John Wiley and Sons, 1997. ISBN 0-471-17001-1 Meir M. Lehman and L. A. Belady. Program Evolution: Processes of Software Change, Academic Press, 1985. ISBN 0-12-442441-4 |
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 |