The software engineering laboratory: Objectives
SIGCPR '77 Proceedings of the fifteenth annual SIGCPR conference
Structured programming in a production programming environment
Proceedings of the international conference on Reliable software
An Evaluation of Expert Systems for Software Engineering Management
IEEE Transactions on Software Engineering
Recent advances in software measurement (abstract and references for talk)
ICSE '90 Proceedings of the 12th international conference on Software engineering
A Model for Software Development Effort and Cost Estimation
IEEE Transactions on Software Engineering
Development concerns for a software design quality expert system
DAC '85 Proceedings of the 22nd ACM/IEEE Design Automation Conference
Calculation and use of an environment's characteristic software metric set
ICSE '85 Proceedings of the 8th international conference on Software engineering
Perspectives in Software Engineering
ACM Computing Surveys (CSUR)
Proceedings of the 24th International Conference on Software Engineering
An Empirical Method for Selecting Software Reliability Growth Models
Empirical Software Engineering
Software Development Reengineering - An Experience Report
Ada-Europe '02 Proceedings of the 7th Ada-Europe International Conference on Reliable Software Technologies
Productivity factors and programming environments
ICSE '84 Proceedings of the 7th international conference on Software engineering
Evaluation of a software requirements document by analysis of change data
ICSE '81 Proceedings of the 5th international conference on Software engineering
Evaluating and comparing software metrics in the software engineering laboratory
Proceedings of the 1981 ACM workshop/symposium on Measurement and evaluation of software quality
A view of 20th and 21st century software engineering
Proceedings of the 28th international conference on Software engineering
Journal of Systems and Software
Programming measurement and estimation in the software engineering laboratory
Journal of Systems and Software
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The collection and analysis of data from programming projects is necessary for the appropriate evaluation of software engineering methodologies. Towards this end, the Software Engineering Laboratory was organized between the University of Maryland and NASA Goddard Space Flight Center. This paper describes the structure of the Laboratory and provides some data on project evaluation from some of the early projects that have been monitored. The analysis relates to resource forecasting using a model of the project life cycle based upon the Rayleigh equation and to error rates applying ideas developed by Belady and Lehman.