cse5mqr metrics, quality and reliability
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.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorRichard Lai
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
Prerequisites CSE5DES or CSE5SDM or admission in one of the following courses: SMIT, SMICT, SMCSC, SGIT or SGCS
Co-requisitesN/A
Incompatible subjectsCSE3MQR
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Software Metrics: A Practical and Rigorous Approach
Resource TypeBook
Resource RequirementRecommended
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
Subject options
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Melbourne (Bundoora), 2020, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRichard 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 | 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 | Yes | 30 | SILO1, SILO2, SILO3, SILO4 |
Problem solving tasks (1,300-words in total) | N/A | N/A | No | 24 | SILO1, SILO2, SILO3, SILO4 |
Laboratory report (1,000-words) | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4 |
10 Tutorial exercises (900-words in total) | N/A | N/A | No | 18 | SILO1, SILO2, SILO3, SILO4 |
Nine Quizzes (100-words in total) | N/A | N/A | No | 8 | SILO1, SILO2, SILO3, SILO4 |