The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension
Abstract
Antipatterns are "poor" solutions to recurring design problems which are conjectured in the literature to make object-oriented systems harder to maintain. However, little quantitative evidence exists to support this conjecture. We performed an empirical study to investigate whether the occurrence of antipatterns does indeed affect the understandability of systems by developers during comprehension and maintenance tasks. We designed and conducted three experiments, with 24 subjects each, to collect data on the performance of developers on basic tasks related to program comprehension and assessed the impact of two antipatterns and of their combinations: Blob and Spaghetti Code. We measured the developers' performance with: (1) the NASA task load index for their effort, (2) the time that they spent performing their tasks, and, (3) their percentages of correct answers. Collected data show that the occurrence of one antipattern does not significantly decrease developers' performance while the combination of two antipatterns impedes significantly developers. We conclude that developers can cope with one antipattern but that combinations of antipatterns should be avoided possibly through detection and refactorings.
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
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003
Refactoring: Improving the Design of Existing Code
Fowler, M. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45672-4_31 · Cited by 5,591
Eye Tracking Methodology: Theory and Practice
Duchowski, A. T. (2003) · Springer eBooks · doi:10.1007/978-1-4471-3750-4 · Cited by 2,242
Experimentation in Software Engineering: An Introduction
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., & Wesslén, A. (2011) · Lund University Publications (Lund University) · Cited by 2,214
Refactoring improving the design of existing code
Saca, M. A. (2017) · 2017 IEEE 37th Central America and Panama Convention (CONCAPAN XXXVII) · doi:10.1109/concapan.2017.8278488 · Cited by 2,054
Experimentation in Software Engineering
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., & Wesslén, A. (2000) · The Kluwer International Series in Software Engineering · doi:10.1007/978-1-4615-4625-2 · Cited by 1,776
Eye Tracking Methodology; Theory and Practice
(2007) · Qualitative Market Research: An International Journal · doi:10.1108/13522750710740862 · Cited by 1,313
AntiPatterns: Refactoring Software, Architectures, and Projects in Crisis
Brown, W. H., Malveau, R. C., McCormick, H. W., & Mowbray, T. J. (1998) · Cited by 932
DECOR: A Method for the Specification and Detection of Code and Design Smells
Moha, N., Gueheneuc, Y.-G., Duchien, L., & Le Meur, A.-F. (2010) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2009.50 · Cited by 803
Self-citationParnas, D. L. (1994) · doi:10.5555/257734.257788 · Cited by 655
Cited by
Quantifying the Effect of Code Smells on Maintenance Effort
Sjoberg, D. I. K., Yamashita, A., Anda, B. C. D., Mockus, A., & Dyba, T. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.89 · Cited by 316
Metadata
- Authors
- Abbes, M., Khomh, F., Gueheneuc, Y.-G., & Antoniol, G.
- Venue
- 2011 15th European Conference on Software Maintenance and Reengineering
- Publisher
- IEEE
- Published
- 2011-03
- Pages
- 181-190
- ISSN
- 1534-5351 (ISSN-L)
- OpenAlex
- W2108086273
- Cited by
- 309
- References
- 30
- FWCI
- 10.82
- Type
- conference paper
- 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: An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension. https://app.cochat.ai/papers/10.1109/csmr.2011.24
- The paper
- Abbes, M., Khomh, F., Gueheneuc, Y.-G., & Antoniol, G. (2011). An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension. 2011 15th European Conference on Software Maintenance and Reengineering. https://doi.org/10.1109/csmr.2011.24
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.