Study programme 2020-2021Français
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

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCMATH-010-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

  • 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.

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. (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

  • Presentation and/or works
  • Written examination

Q3 UE Assessment Comments

Term 3 will be assessed using the same weighted evaluation as Term 2.

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 : 09/07/2021
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Courriel: info.mons@umons.ac.be