METRICS, QUALITY AND RELIABILITY

CSE3MQR

2021

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.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorRichard Lai

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 3 - UG

Exchange StudentsNo

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesCSE1OOF OR CSE2ISD OR CSE2DES OR CSE3SDM

Co-requisitesN/A

Incompatible subjectsCSE5MQR

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Software Metrics: A Practical and Rigorous Approach

Resource TypeRecommended

Resource RequirementN/A

AuthorNorman Fenton

YearN/A

Edition/VolumeN/A

PublisherA COPY IS AVAILABLE IN THE LIBRARY

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. 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 analyse a software system (e.g. input and output domains, equivalence partition for developing test cases for testing it more effectively

03. Be able to justify how some of the software metrics (e.g. Halstead complexity metrics, McCabe Cyclomatic 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

Subject options

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Melbourne (Bundoora), 2021, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment informationN/A

Subject Instance Co-ordinatorRichard Lai

Class requirements

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

LectureWeek: 30 - 42
Two 1.00 h lecture per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Exam (1hour) (1,000 words)	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4
Problem Solving Tasks (1,300 words)There are 4 problem solving tasks, with each about 350 words	N/A	N/A	N/A	No	24	SILO1, SILO2, SILO3, SILO4
Quizzes (Ten quizzes each of 10 minutes, about 200 words in equivalence)There are 10 quizzes (multiple choices), with each about 20 words	N/A	N/A	N/A	No	8	SILO1, SILO2, SILO3, SILO4
Laboratory submissions (1,000 words)There are 4 Lab submission, with each about 250 words	N/A	N/A	N/A	No	20	SILO1, SILO2, SILO3, SILO4
Tutorial exercises (900 words)There are 10 tutorial submission, with each tutorial containing about 90 words	N/A	N/A	N/A	No	18	SILO1, SILO2, SILO3, SILO4

Chisholm 311 (Chisholm Institute), 2021, Semester 2, Day