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DD2459 Software Reliability 7.5 credits

Administer About course

The subject matter of this course concerns modern and practical techniques for software testing and reliability modeling, suitable for the working software engineer.

Software testing concerns the problem of analyzing and evaluating software products to reach some conclusion about their fitness for use. For safety critical, mission critical and enterprise critical systems development it is nowadays essential to have some form of software quality assurance measures in place within an IT project. Quality assurance measures may involve both managerial and technical procedures. However, the primary focus of this course will be on technical procedures to predict, discover and diagnose errors in software systems.

Choose semester and course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Application

For course offering

Spring 2025 sofrel25 programme students

Application code

60255

Headings with content from the Course syllabus DD2459 (Spring 2020–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course will cover the following topics:  

  • software testing concepts according to the V-model
  • graphical requirements modeling, including use case modeling
  • logical requirements modeling, including preconditions, postconditions and class invariants
  • graph coverage models
  • logic coverage models
  • input space partitioning
  • syntax based testing
  • reliability models
  • advanced topics such as automated and model based testing.  

The theoretical subjects are supported by laboratory work to deepen the student's understanding of important concepts.

Intended learning outcomes

Having passed the course, the student shall be able to

  • identify the basic activities needed for software testing, including requirements capture, test planning, test case generation, test case execution, fault diagnosis and fault correction
  • construct requirements models for simple embedded, reactive and object-oriented systems
  • construct a test suite for a simple requirements model
  • assess the quality of a test suite according to a variety of coverage models.

Literature and preparations

Specific prerequisites

Completed courses in programming, equivalent to DD1337/DD1310/DD1311/DD1312/DD1314/DD1315/DD1316/DD100N/ID1018 and linear algebra equivalent to SF1624/SF1672.

Recommended prerequisites

Discrete mathematics corresponding to SF1630, SF1662, SF1679 or SF1688.

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F
  • TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Karl Meinke

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Computer Science

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Karl Meinke, e-post: karlm@kth.se

Supplementary information

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex