An Empirical Analysis of Productivity and Quality in Software Products 论文

2000Management Science引用 268
Software Engineering ResearchSoftware Engineering Techniques and PracticesBig Data and Business Intelligence

摘要

We examine the relationship between life-cycle productivity and conformance quality in software products. The effects of product size, personnel capability, software process, usage of tools, and higher front-end investments on productivity and conformance quality were analyzed to derive managerial implications based on primary data collected on commercial software projects from a leading vendor. Our key findings are as follows. First, our results provide evidence for significant increases in life-cycle productivity from improved conformance quality in software products shipped to the customers. Given that the expenditure on computer software has been growing over the last few decades, empirical evidence for cost savings through quality improvement is a significant contribution to the literature. Second, our study identifies several quality drivers in software products. Our findings indicate that higher personnel capability, deployment of resources in initial stages of product development (especially design) and improvements in software development process factors are associated with higher quality products.

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