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On the analysis of power law distribution in software component sizes
Shachi Sharma
,
Parag C. Pendharkar
School of Business Administration (Harrisburg)
Research output
:
Contribution to journal
›
Article
›
peer-review
5
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Scopus citations
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Dive into the research topics of 'On the analysis of power law distribution in software component sizes'. Together they form a unique fingerprint.
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Engineering
Law Behavior
100%
Software Component
100%
Analytical Model
50%
Model Parameter
50%
Software Systems
50%
Metrics
50%
Active Area
50%
Closed Form Expression
50%
Maximization
50%
Real Data
50%
Lognormal
50%
Cost Estimate
50%
Keyphrases
Power-law Distribution
100%
Component Sizing
100%
Software Component
100%
Component-based Software Development
25%
Power-law Behavior
16%
Analyzability
16%
Steady State
8%
Software System
8%
Analytical Model
8%
Popular
8%
Power Law
8%
Closed-form Expression
8%
Active Area
8%
High Variability
8%
Probability Distribution
8%
New Defects
8%
Lognormal
8%
Distribution Fitting
8%
Component-based Software
8%
Cost Estimation
8%
Estimate Model Parameter
8%
Effort Estimate
8%
Software Quality Assurance
8%
Measuring Defects
8%
Computer Science
Software Component
100%
Power-Law Distribution
100%
Entropy
100%
component based software development
60%
Software Systems
20%
Analytical Model
20%
closed-form expression
20%
Real Data Sets
20%
component-based software
20%
Software Quality Assurance
20%
Probability
20%