|Delivery Type||Delivery length / details|
|Seminars / Tutorials|
|Assessment Type||Assessment length / details||Proportion|
|Semester Exam||2 Hours Written Exam||80%|
|Semester Assessment||One piece of coursework||20%|
|Supplementary Exam||Will take the same form, under the terms of the department's policy||100%|
On successful completion of this module students should be able to:
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.
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.
"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.
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
|Skills Type||Skills details|
|Application of Number||A deep understanding of measurement scales together with a basic udnerstanding of statistical process control is included in this module.|
|Communication||Written communication is essential to demonstrating knowledge of this field.|
|Information Technology||Software metrics is fundamental to evaluation of IT systems.|
|Problem solving||Design of appropriate software metrics entails solving combinations of both qualitative and quantitative problems.|
|Research skills||On element of this module specifically focuses on experimental design.|
|Subject Specific Skills||Quantitative methods are central to Software Engineering.|
This module is at CQFW Level 7