Course details

Testing and Dynamic Analysis

ITS Acad. year 2018/2019 Summer semester 5 credits

Current academic year

Test specification. Coverage criteria for source code (EC, NC, EPC, PPC). Logic coverage criteria (PC, CC, MCDC). Input space partitioning. Input space coverage criteria. Black-box dynamic analysis. Tracing of shared resource usage. Testing multi-threaded applications. Testing network applications. Testing GUI. Performance testing. Test management.


Deputy Guarantor

Language of instruction



Credit+Examination (written)

Time span

26 hrs lectures, 26 hrs projects

Assessment points

60 exam, 40 projects




Subject specific learning outcomes and competences

Student knows fundamental techniques of software testing. Student is able to develop effective test suites of a software product. Student can analyse source codes, knows typical locations in a source code which are sensitive to be flawed. Student can analyse behaviour of a program with finite or infinite runs with no explicit knowledge of the source code. Student can test and/or analyse program communications, program performance, usage of shared resources, manipulation with data storages, and a function of graphical user interface. Student is able to find bugs in programs in a systematic way. Student knows fundamentals of test planning and management. Student acquaints with English terminology in the subject.

Generic learning outcomes and competences

Student will learn through project excercise how to analyse a software product to rise its quality. Student gain a knowledge how to create a test suite and how to find bugs in programs.

Learning objectives

To provide an overview of verification stage of development of a software system, the main focus is on dynamic analysis of software. To get practical skills with software testing required by a QA engeneer. Mastering development of automatic tests of different aspects of verified programs. To get basic knowledge of test planning and management.

Why is the course taught

Software quality assurance is a necessary part of each development cycle of a software product. Software testing is the front line of quality assurance. In the age of making more complex software designs, more emphasis is given to automation of all development stages, software testing including. Students will be acquainted with problems of systematic software testing and learn basic approaches to its automation. Graduates of the course will have main competences of a quality engineer.


Prerequisite kwnowledge and skills

formal languages and compilers, algorithms, operating systems

Study literature

  • G. J. Myers, C. Sandler, T. Badgett. The Art of Software Testing, 3rd edition. John Wiley & Sons, 2011, 256 p., ISBN 978-1118031964.
  • A. Spillner, T. Linz, H. Schaefer. Software Testing Foundations : A Study Guide for the Certified Tester Exam. Rocky Nook Computing. 2014. p. 296. ISBN 9781937538422.
  • C. Kaner, J. Bach, B. Pettichord. Lessons Learned in Software Testing: A Context-Driven Approach. Wiley Computer Publishing, 2002, 286 p., ISBN 0-471-08112-4.
  • B. Marick. The Craft Of Software Testing, Subsystem Testing, Prentice Hall PTR, 1995, ISBN 0-13-177411-5.
  • A. Spillner, T. Linz, H. Schaefer. Software Testing Foundations, 2nd ed., 2007, 296 p., ISBN 978-1-9339-5278-9.
  • P. Farrell-Vinay. Manage Software Testing. Auerbach Publications, 2008, 537 p., ISBN 978-0-8493-9383-9.

Fundamental literature

  • P. Ammann, J. Offutt. Introduction to Software Testing. Cambridge University Press, 2008, 322 p. ISBN 978-0-511-39330-3.

Syllabus of lectures

  1. Role of testing and dynamic analysis in development of a computer-based system. Introduction to terms in testing. Models of testing process. Test requirements, test specification, and test plan. Test-driven development.
  2. Subsystem testing. Coverage criteria for source code. Control flow graph. Graph coverage criteria. Data flow coverage criteria.
  3. Relation of a graph coverage and the source code. Relation of a data flow coverage and the source code.
  4. Logic coverage criteria.
  5. Input domain modelling. Input space coverage criteria.
  6. Syntax-based testing.
  7. Test case development based on specification requirements of a system. Testing according to V-model.
  8. Combining test cases. Test-based bug localization. Bug-reporting.
  9. Black-box dynamic program analysis. Analysis based on tracing library and system calls. Constructing data and control flow graph. Constraints of event sequence.
  10. Virtualization in dynamic analysis. Analysis of shared resource usage. Coverage criteria based on shared resource usage.
  11. Testing multi-threaded applications.
  12. Testing network applications. Testing graphical user interface and its automation. Testing non-functional requirements.
  13. Performance testing. Test planning and management. Brief introduction to static analysis.

Syllabus - others, projects and individual work of students

  1. Design of a test suite satisfying specified test criteria for a given software project.
  2. Implementation of an automated test suite..

Progress assessment

Students can obtain up to 40 points from 2 projects and up to 60 points from the final exam.

Controlled instruction

Realization and defence of projects in due dates.

Exam prerequisites

For receiving the credit and thus for entering the exam, students have to earn at least 15 points from all projects.

Course inclusion in study plans

  • Programme BIT, 2nd year of study, Elective
  • Programme IT-BC-3, field BIT, any year of study, Elective
  • Programme IT-BC-3, field BIT, 2nd year of study, Elective
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