Study programme 2019-2020Français
Software Evolution
Programme component of Master's in Computer Science à la Faculty of Science

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCINFO-001-MOptional UEMENS TomS852 - Génie Logiciel
  • MENS Tom

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Français3015150066.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-029Software Evolution30151500Q2100.00%
Programme component

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. 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

  • Presentation and/or works
  • Written examination

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

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Written examination

Q3 UE Assessment Comments

Term 3 will be assessed using the same weighted evaluation as Term 2,
but there will only be a written examination and the evaluation of the work assignment carried out by the student.
The note obtained during Term 2 for the oral presentation will be taken into account for the evaluation in Term 3.

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-INFO-029
  • Cours magistraux
  • Conférences
  • Travaux pratiques
  • Travaux de laboratoire
  • Projet sur ordinateur
  • Préparations, travaux, recherches d'information

Mode of delivery

AAMode of delivery
S-INFO-029
  • Mixed

Required Reading

AA
S-INFO-029

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-029The required learning resources and tools are available on Moodle, the online e-learning platform of the university.

Recommended Reading

AA
S-INFO-029

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-029The recommended learning resources and tools are available on Moodle, the online e-learning platform of the university.

Other Recommended Reading

AAOther Recommended Reading
S-INFO-029Tom 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

AAGrade Deferrals of AAs from one year to the next
S-INFO-029Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 13/07/2020
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be