A Research Agenda for Extending Agile Practices In Software Development and Additional Task Domains
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 article is intended to serve as an introduction to this special issue on agile practices. In doing so, we briefly survey a number of key issues that are emerging in the application of agile practices to software development (SWD) and, similarly, examine recent work on extending knowledge about these practices to other task domains. We note that the extant literature on agile practices has been criticized for lacking a theoretical basis and comment on various ways that a theory orientation can enhance the accumulation of knowledge in this area. We also address issues that expand our current understanding of agile practices as they apply to non-SWD tasks. We present a framework for surfacing and discussing some of these emergent issues. We comment on the articles in this special issue and situate them within the research framework. We discuss some of the topics we think are likely to become influential as agile practices move outside the SWD domain and, finally, we present some summarizing observations.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 it