Software Project Risk Drivers as Project Manager Stressors and Coping Resources
Bibliographic record
Abstract
Although the stressful nature of high risk exposure software projects and the adverse repercussions of stress on project participants and performance have long been recognized, there is still little research on the subject. This paper builds upon two foundations - the cognitive-transactional theory of stress and the concept of software project risk exposure - to propose a model of software project risk drivers as software project manager stressors and coping resources. The model posits that some software project risk drivers - core project characteristics and project objectives - play the role of stressors and that other risk drivers - project environment characteristics - play the role of coping resources. The model further suggests that software project managers are faced with both chronic stress and acute stress, which have different antecedents. This paper broadens current understanding of the role of software project risk drivers; it also contributes to knowledge on software project management by focusing on the emotional components this activity.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".