A MEASUREMENT FRAMEWORK FOR SOFTWARE PROJECTS: A Generic and Practical Goal-Question-Metric(GQM) based approach.

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Trafford Publishing, Nov 23, 2011 - Technology & Engineering - 244 pages
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Software projects today are often characterized by poor quality, schedule overruns and high costs. Hence project decision makers need an objective and validated measurement framework to allocate limited resources and to track project progress. In this backdrop, based on the Goal-Question-Metric (GQM) model, Prashanth Harish Southekal has come up with eight generic objective measures for the project stakeholders to base their corrective actions for successful project delivery . The measurement framework is validated (i) theoretically with measurement theory criteria and (ii) empirically with case studies (Controlled and Uncontrolled) including a global survey representing industry practitioners from 29 countries.
 

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Contents

Introduction The Problem Statement and Research Proposition
1
Standish Project Benchmarks
9
Dalchers definition of software project success
11
Linbergs definition of software project success and failure
12
Expectations of the Project Stakeholders
16
Software Project Attributes
21
Project Management Maturity Comparison
22
Research Design and Methodology
29
Control Account Structure
110
Relationship between WBS RBS and OBS
111
Cone of Uncertainty
112
Interpretations of Basic EVM Performance Measures
114
Process Capability
116
Area under the Normal Curve
119
Sigma Level vs DPMO
120
DRE vs Process Maturity
123

Steps in the Research methodology
31
Reliability and Validity
32
Reliability and Validity
33
Cronbachs Alpha
36
Validity Hierarchy
37
List of all 47 validation criteria
39
Citation Network
40
Top Six Papers
41
List of 28 validation criteria
42
List of 17 Validation Criteria
45
List of 15 Validation Criteria
46
Construction of the Measurement Framework
49
Metrics Validation
50
Attributes in a Software Project
52
Chronology of Software Metrics
54
Chronology of Measurement Frameworks
55
PSM Measurement Information Model
57
PSM Measurement Process Model
58
Balanced Scorecard
60
Comparison of Goal Oriented Measurement Frameworks
63
Preferences of GMFs from Industry Practitioners
64
Preferences of Three GMFs from Industry Practitioners
65
GQM Model
67
Primary concerns of project
70
Refining the Goal Statement
73
Base Line Questions
74
Formulating Questions in GQM
75
Example on Formulating Questions in GQM
76
Summarized Data from Paired Comparison Analysis PCA
78
Information Level in Measurement Scales
82
Application of the five criteria on the eight measures
84
Application of GQM framework
85
Relationship between 8 Measures
91
The Eight Core Measures
93
Comparison of Measurement Models
94
Different Size Measures
96
Procedure for Function Point counting
100
Function Point Factors
101
FPs of different Applications
103
LOC vs Duration
104
McCabe Complexity Example
105
Original McCabe values for Program complexity
106
Building blocks of EVM
109
Theoretical Validation of the Framework
126
Structural Model for Direct Measures Measurement
128
Structural Model for Indirect Measure Measurement
129
Scale Validity
132
Scale Type Property
133
Granularity of Measures
134
Measurement Mapping
135
Representation Condition RC Validity
136
Unit Validity
137
Protocol Validity
138
Appropriate Continuity
139
Dimensional Consistency
140
Theoretical Validation Criteria
141
Attributes of the Measures
143
Validating Measures using the Ten Questions
147
Preferred decision criteria
149
Empirical Validation of the Framework
151
Correlation Values for Survey Validity
155
Profile of the Survey Respondents
157
Survey Analysis Flowchart for Ordinal Data
158
Descriptive Statistics of the Survey data
159
Kruskal Wallis KW Test Results
160
Correlation between the Means of 8 Measures and OM
161
Promoter Responses
163
Analysis of LOC data based on Organization types
165
Analysis of LOC data based on Developer Skills
166
Four Step Hybrid Methodology
173
McCabes Output from Eclipse plugin
175
Earning Rules for SPI and CPI
177
Measurement Framework
178
Measurement Data after the First Iteration
179
Measurement Data after the Final Iteration
180
Comparison of the Eight Measures
182
Attribute Validity
188
Summary of Empirical Validation
189
Conclusion and Directions for Future Research
190
References
197
Index
211
Glossary of Terms
215
Survey Questionnaire
217
About the Author
219
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