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Cited by 264

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

An Empirical Analysis of Productivity and Quality in Software Products

Krishnan, M. S., Kriebel, C. H., Kekre, Sunder, Mukhopadhyay, Tridas·2000·Management Science

Abstract

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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Crossref · 10.1287/mnsc.46.6.745.11941

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Metadata

Authors
Krishnan, M. S., Kriebel, C. H., Kekre, S., & Mukhopadhyay, T.
Venue
Management Science
Published
2000-06
Volume
46
Issue
6
Pages
745-759
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2134906666
Cited by
264
References
37
FWCI
18.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Empirical Analysis of Productivity and Quality in Software Products. https://app.cochat.ai/papers/10.1287/mnsc.46.6.745.11941
The paper
Krishnan, M. S., Kriebel, C. H., Kekre, S., & Mukhopadhyay, T. (2000). An Empirical Analysis of Productivity and Quality in Software Products. Management Science. https://doi.org/10.1287/mnsc.46.6.745.11941

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.