Software product line market repositioning: The power of functional groups
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This is a longitudinal study of change process as it applies to software product line evolution. The objective is to study and describe changes in software product line that occurred after top management team of a supplier of hardware and software for telecommunication equipments decided to change the target market for its software intensive telecommunication products as a result of market decline. This company has a proven record of innovation and technological breakthroughs and has offices in Europe, North America, Africa, and Asia. The study is divided into three phases. The next phase in this study is to look at the relationships between functional groups and to try and answer the question: “Does the power of functional groups closest to the customer increases during sales declines?” The analysis of the data available to us shows that functional groups that were closer to the customers increase their relative size; groups located in remote sites decrease in size faster than the groups with similar skills located at the company's headquarters; and groups that were more involved in developing products and have specialized skills decreased in relative size. Our final analysis shows that the power of functional groups that interact most frequently with customers increases while the power of functional groups that interacts the least with customers decreases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.000 | 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 it