The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Toward an Assessment of Software Development Risk
Abstract
:Despite the introduction and use of a wide variety of system development methods and tools, software projects are still plagued by time and cost overruns, and unmet user requirements. To avoid these problems, it is frequently recommended that the risk: associated with a software project be managed. A task that is critical to the proper management of software development risk is the assessment of the risks facing the project. Based on previous research, this paper proposes a definition and a measure of software development risk. Subsequently, data collected in a survey of 120 projects is used to assess the reliability and validity of the instrument.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Belief in the law of small numbers.
Tversky, A., & Kahneman, D. (1971) · Psychological Bulletin · doi:10.1037/h0031322 · Cited by 3,246
Cited by
A taxonomy of players and activities across the ERP project life cycle
Somers, T. M., & Nelson, K. G. (2004) · Information & Management · doi:10.1016/s0378-7206(03)00023-5 · Cited by 694
Risk factors in enterprise-wide/ERP projects
Sumner, M. (2000) · Journal of Information Technology · doi:10.1177/026839620001500407 · Cited by 559
Williams, D. J., & Noyes, J. M. (2007) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220500484419 · Cited by 179
Development of measures to assess the ERP adoption of small and medium enterprises
Shiau, W., Hsu, P., & Wang, J. (2009) · Journal of Enterprise Information Management · doi:10.1108/17410390910922859 · Cited by 129
Metadata
- Authors
- Barki, H., Rivard, S., & Talbot, J.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 1993-09
- Volume
- 10
- Issue
- 2
- Pages
- 203-225
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W1545622404
- Cited by
- 717
- References
- 1
- FWCI
- 19.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Toward an Assessment of Software Development Risk. https://app.cochat.ai/papers/10.1080/07421222.1993.11518006
- The paper
- Barki, H., Rivard, S., & Talbot, J. (1993). Toward an Assessment of Software Development Risk. Journal of Management Information Systems. https://doi.org/10.1080/07421222.1993.11518006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.