306726 (v.1) Software Engineering Tools and Metrics 651

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Area:	Department of Computing
Credits:	25.0
Contact Hours:	3.0
Lecture:	1 x 2 Hours Weekly
Practical:	1 x 1 Hours Weekly
Prerequisite(s):	302388 (v.1) Statistics for Engineers and Scientists 101 or any previous version AND     307535 (v.1) Engineering Mathematics 110 or any previous version     OR     307536 (v.1) Engineering Mathematics 120 or any previous version AND     307540 (v.1) Engineering Computing 100 or any previous version     OR     1920 (v.6) Software Technology 151 or any previous version
Syllabus:	Product and Process Metrics. Source and byte code static metrics. Dynamic metrics and testing tools. Implementation of a metrics program. Profiling and performance improvement. Reliability measurement and fault prediction modeling. Statistical methods for managing software quality. Software effort and cost estimation modeling. Tools for measurement and maintaining software quality. Configuration management.
Unit Outcomes:	The primary goal of this unit is to expose the students to software metrics, profiling and quality management. The major topics to be covered in this unit are profiling and performance improvement, product and process metrics, implementation of a metricsprogram, testing tools, static and dynamic analysis tools, documentation and maintenance support, use of case tools for requirements analysis, specification and design.
Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information.
Unit References:	Shirazi, J. (2000) Java Performance Tuning, Chapter 2: Profiling Tools, O'Reilly and Associates, ISBN 0-596-00015-4, pages 20-63. Lindholm, T, and Yellin, F (1999) The Java tm Virtual Machine Specification, 2nd Edition, Chapter 4: The class File Format, Addison-Wesley, ISBN 0-201-43294-3, pages 93-154. Meyer, J and Downing, T (1997) Java Virtual Machine, Chapter 4 Classes, O'Reilly and Associates, ISBN 1-56592-194-1, pages 63-92.
Unit Texts:	Fenton and Pfleeger, Software Metrics: A Rigorous & Practical Approach, revised 2nd ed.
Unit Assessment Breakdown:	Assignments (2) 40%. Final Examination 60%. This is by grade/mark assessment.
Year Location Period Internal Area External Central External 2004 Bentley Campus Semester 1 Y