METRICS, QUALITY AND RELIABILITY

CSE5MQR

2020

Credit points: 15

Subject outline

This subject examines the different attributes of the quality of a piece of software, the techniques of measuring them and the means of developing quality software. The topics covered include measurement techniques, empirical relations, representation conditions, measurement types and scales, direct and indirect measurements, measurement prediction, meaningfulness in measurement, software quality attributes, software metrics, different types of metrics, software complexity, size estimation, software productivity, GQM, management by metrics, software reliability concepts, reliability model, reliability estimation, testing issues in the real world, test suite design, testing techniques, management issues in testing, software release policies, fault and failure, fault report, and fault and failure analysis.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Richard Lai

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 5 - Masters

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: CSE5DES or CSE5SDM or admission in one of the following courses: SMIT, SMICT, SMCSC, SGIT or SGCS

Co-requisites: N/A

Incompatible subjects: CSE3MQR

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Software Metrics: A Practical and Rigorous Approach

Resource Type: Book

Resource Requirement: Recommended

Author: Norman Fenton

Year: N/A

Edition/Volume: N/A

Publisher: A COPY IS AVAILABLE IN THE LIBRARY

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Be able to compare the different measurement methods and to explain the reasons behind how measurement is used for understanding, controlling and improving a software project.

02. Be able to construct test cases to test a software product adequately and effectively and relate them to the criteria for releasing the product to the customer

03. Be able to justify how some of the software metrics (e.g. Halstead complexity metrics, McCabe Cyclometric metrics are used for measuring the complexity attributes of a software system.

04. Be able to formulate measurement framework and techniques like Function Point and GQM for measuring certain performance attributes of a software project.

Melbourne (Bundoora), 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Richard Lai

Class requirements

Laboratory ClassWeek: 32 - 43
One 2.00 hours laboratory class per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
Two 1.00 hour lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Exam (2 hours)Hurdle requirement: to pass the subject, a minimum 40% mark in the examination is mandatory.	N/A	N/A	N/A	Yes	30	SILO1, SILO2, SILO3, SILO4
Problem solving tasks (1,300-words in total)	N/A	N/A	N/A	No	24	SILO1, SILO2, SILO3, SILO4
Laboratory report (1,000-words)	N/A	N/A	N/A	No	20	SILO1, SILO2, SILO3, SILO4
10 Tutorial exercises (900-words in total)	N/A	N/A	N/A	No	18	SILO1, SILO2, SILO3, SILO4
Nine Quizzes (100-words in total)	N/A	N/A	N/A	No	8	SILO1, SILO2, SILO3, SILO4