DEVELOPERS VIEWS ON INFORMATION SYSTEMS QUALITY AND SUCCESS IN CANADIAN SOFTWARE DEVELOPMENT FIRMS
Bibliographic record
Abstract
ABSTRACT For years software developers have struggled in their attempts to deliver high quality and successful software products. A survey was conducted in Canada to assess the main determinants of information systems (IS) quality and success. The survey confirmed the notion that developer skills and contribution had the greatest impact on information systems quality, over process maturity and the application of the latest technology. The survey also discovered that user perception had a greater impact on IS success in comparison to IS quality. In an attempt to gain deeper insights into the state of IS quality and success in Canada, interviews were conducted with Canadian software developers. The interviews revealed that organization climate such as top management support, the social interactions and dynamics among project team members and the structural analysis of the industry are other factors which can influence the quality and success of the delivered software product. These insights if applied during the development and delivery of information systems can enhance the likelihood of producing high quality and successful software products and increase the competitiveness of these firms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".