Software Data Collection Study. Volume III. Data Requirements for Productivity and Reliability Studies.
Final technical rept. Jun 75-Jun 76,
SYSTEM DEVELOPMENT CORP SANTA MONICA CALIF
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Ever increasing costs of software development without a parallel increase in software quality has generated much attention on software reliability, project productivity and the overall problems inherent in the software development process. One of the objectives of the Data Collection Study is to recommend a set of parameters to be collected for the RADC Software Data Repository that will form an historical data base to support research and analyses requirements within RADC. Using past and present data collection systems and the results of a survey of the literature as guides, data parameters from contract award to software system installation are discussed. A classification of data parameters results from the examination of significant software development factors. The first class consists of project environment factors including contract and customer relations data, organizational and personnel characteristics, hardware and support facilities parameters, and overall attributes of the software product itself, such as size, complexity, etc. The second class of data is project performance information reflecting the amount and quality of work performed for the duration of the project period. Class three data consists of automatically generated product measurements, which demonstrate the structure and behavior of the product through the application of analysis tools and testing procedures. author
- Computer Programming and Software
- Computer Systems