Transparencies prepared by Aimo Törn in the Autumn 1997, Spring 2000 for a course on Software Quality Metrics at the Computer Science Department of Åbo Akademi University and TUCS Turku, Finland. The course is based on the book

Norman E. Fenton and Shari Lawrence Pfleeger: Software Metrics, A Rigorous & Practical Approach, International Thomson Computer Press, London 1997, 638 pp.

© A. Törn. Must not be reproduced verbatim or by editing, or used for giving a course without permission from the author.

PART 1: Fundamentals of Measurement and Experimentation, Ch. 1-6
PART 2: Software Engineering Measurement, Ch. 7-12
PART 3: Measurement and Management, Ch. 13-15

Lecture 1:

1 Measurement: What is it and why do it?
2 Basics of measurement

Lecture 2:

2 Basics of measurement cont.
3 A goal-based framework for software measurement
Törn: Models of software accumulation, J. Systems Software, 1990; 12: 39-42

Lecture 3:

4 Empirical investigation

Lecture 4:

5 Software-metrics data collection
6 Analyzing software-measurement data collection

Lecture 5:

7 Measuring internal product attibutes: size
8 Measuring internal product atttributes: structure

Lecture 6:

8 Measuring internal product attibutes: structure, cont.
Törn, A., T. Andersson and K. Enholm (1999), "A Complexity Metrics Model for Software", see also TUCS Technical Report No. 99, 16 pp., 1996.

Lecture 7:

8.3 Modularity and information flow attributes

Lecture 8:

9 Measuring external product attributes
Eriksson, I. and A. Törn (1991), "A model for IS quality", Software Engineering Journal 6, 152-158.
Eriksson, I. and A. Törn (1997), "SPECIAL ISSUE: Information System Quality", IST 39/12, 797-850.

Lecture 9:

10 Software reliability: Measurement and prediction
11 Resource measurement: Productivity, teams, and tools
12 Making process predictions

Lecture 10:

13 Planning a measurement program
14 Measurement in practice

Lecture 11:

14 Measurement in practice, cont.
15 Empirical research in software engineering