Basics of measurement: scope of software metrics, representational theory of measurement, measurement and models, measurement scales, meaningfulness in measurement, goal-based framework for software, measurement, Software-metrics, data collection and analysis: What is good data, how to define the data, how to collect the data, how to store and extract data, analyzing software-measurement data, frequency distributions, various statistical techniques. [8 Hours]

Measuring internal product attributes: Measuring external product attributes: Modeling software quality, measuring aspects of software quality, software reliability, basics of software reliability, software reliability problem, parametric reliability growth models, predictive accuracy, recalibration of software-reliability growth predictions, importance of operational environment, wider aspects of software reliability. [10 Hours]

Metrics for object-oriented systems: The intent of object-oriented metrics, distinguishing characteristics of object-oriented metrics, various object-oriented metric suites – LK suite, CK suite and MOOD metrics. Metrics for component-based systems: The intent of component-based metrics, distinguishing characteristics of component-based metrics, various component-based metrics. Resource measurement: Measuring productivity, teams, tools, and methods. [10 Hours]

Measures and metrics of industry leaders – Measures, metrics and innovation –Measurements, metrics and outsource litigation – Measurements, metrics and behavioral changes – Commercial software measurement tools. Measuring Process Maturity - Process Capability - Value of Process Improvement – Process Adoption – Process Compliance. Function Point Metrics to Measure Software Process Improvement - Software Process Improvement Sequences. [8 Hours]

To provide a solid background knowledge about software metrics.

To educate various metrics and models to assess software.

To provide hands on experience on using and implementing metrics.

After reading this subject, students will be able to:
1. Acquire knowledge about software metrics.
2. Assess software using various metrics and models.
3. Use and implement different metrics.

N.E. Fenton and S.L. Pfleeger, Software Metrics – A Rigorous and Practical Approach, International Thomson Computer Press , 1997

S.H. Kan, Metrics and Models in Software Quality Engineering, Addison Wesley, New York , 2004

K. H. Möller and D. J. Paulish, Software Metrics - A Practitioner's Guide to Improved Product Development Chapman and Hall, Computing Series, IEEE Computer Society Press , 1993

C Ravindranath Pandian, Software Metrics: A Guide to planning, Analysis, and Application, Auerbach , 2011