SEM3510 - QUANTITATIVE METHODS IN SOFTWARE ENGINEERING

Module Identifier

SEM3510

Module Title

QUANTITATIVE METHODS IN SOFTWARE ENGINEERING

Academic Year

2005/2006

Co-ordinator

Dr Edel M Sherratt

Semester

Intended for use in future years

Next year offered

N/A

Next semester offered

N/A

Other staff

Dr Edel M Sherratt, Dr Lynda A Thomas

Pre-Requisite

MA28010

Course delivery

Seminars / Tutorials

(up to) 4 workshops

Lecture

20 lectures

Assessment

Assessment Type	Assessment Length/Details	Proportion
Semester Exam	2 Hours	80%
Semester Assessment	one piece of coursework	20%
Supplementary Exam	Will take the same form, under the terms of the department's policy	100%

Further details

http://www.aber.ac.uk/compsci/ModuleInfo/SEM3510

Learning outcomes

On successful completion of this module students should:

know enough measurement theory to understand the properties that any useful software metric must have;
be familiar with the commonly used software metrics, be able to determine them in simple cases, and understand their limitations;
understand the principles of statistical process control and be able to apply them to the process of software development;
be familiar with the principles used in performance prediction and measurement and able to apply them in simple cases.

General description

"If you can't measure it you can't manage it." This statement, while not universally true, has become a cliche in modern management. It is certainly true that our inability to manage many characteristics of software systems leads to great difficulty in managing them. This module introduces the basic ideas of measurement theory and describes the different approaches that have been tried in attempts to measure the characteristics of software systems. The way that these approaches have been used in practice and their limitations are also discussed.

Aims

To introduce students to the best industrial practice in the use of quantitative methods both in the development and in the operation of computer systems and to demonstrate the inadequacy of the current state of the art.

Syllabus

MEASUREMENT THEORY - 2 Lectures
SIZE AND COMPLEXITY METRICS - 4 Lectures
DATA GATHERING AND ANALYSIS - 4 Lectures
DEFECT PREVENTION AND PREDICTION - 3 Lectures
OPTIMISING THE DEVELOPMENT PROCESS - 2 Lectures
PERFORMANCE PARAMETERS - 3 Lectures
PERFORMANCE MODELLING - 2 Lectures

Reading Lists

Books
** Recommended Consultation
Norman E. Fenton (2000) Software Metrics: a Rigorous and Practical Approach 2nd. Brooks/Cole Publishing
Barbara Kitchenham (1996) Software metrics: Measurement for Software Process Improvement NCC Blackwell

Notes

This module is at CQFW Level 7