Software Engineering Economics
Software Engineering Economics
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Productivity factors and programming environments
ICSE '84 Proceedings of the 7th international conference on Software engineering
Characteristic program complexity measures
ICSE '84 Proceedings of the 7th international conference on Software engineering
A meta-model for software development resource expenditures
ICSE '81 Proceedings of the 5th international conference on Software engineering
Some results from an empirical study of computer software
ICSE '79 Proceedings of the 4th international conference on Software engineering
Third time charm: Stronger prediction of programmer performance by software complexity metrics
ICSE '79 Proceedings of the 4th international conference on Software engineering
Analyzing medium-scale software development
ICSE '78 Proceedings of the 3rd international conference on Software engineering
M.H. Halstead's Software Science - a critical examination
ICSE '82 Proceedings of the 6th international conference on Software engineering
Knowledge-based decision support systems: development through kms
Knowledge-based decision support systems: development through kms
Learning from Examples: Generation and Evaluation of Decision Trees for Software Resource Analysis
IEEE Transactions on Software Engineering - Special Issue on Artificial Intelligence in Software Applications
Recent advances in software measurement (abstract and references for talk)
ICSE '90 Proceedings of the 12th international conference on Software engineering
Software metrics and measurement principles
ACM SIGSOFT Software Engineering Notes
Managerial Use of Metrics for Object-Oriented Software: An Exploratory Analysis
IEEE Transactions on Software Engineering
Calculation and optimization of thresholds for sets of software metrics
Empirical Software Engineering
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Since both cost/quality goals and production environments differ, this study presents an approach for customizing a characteristic set of software metrics to an environment. The approach is applied in the Software Engineering Laboratory (SEL), a NASA Goddard production environment, to 49 candidate process and product metrics of 652 modules from six (51,000 - 112,000 line) projects. For this particular environment, the method yielded the characteristic metric set {source lines, fault correction effort per executable statement, design effort, code effort, number of I/O parameters, number of versions}. The uses examined for a characteristic metric set include forecasting the effort for development, modification, and fault correction of modules based on historical data.