Developments in Practice XXXIV: Application Portfolio Management
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
APM is the ongoing management process of categorization, assessment and rationalization of the IT application portfolio which allows organizations to identify which applications to maintain, invest in, replace, or retire. To understand current APM strategies and practices, the authors convened a focus group of senior IT managers from a number of organizations. Results of the focus group discussion pointed to the need to develop three inter-related APM capabilities: (1) strategy and governance, (2) inventory management, and (3) reporting and rationalization. To deliver value with APM, organizations must establish all three capabilities. Experience suggests that organizations tend to start by inventorying applications and work from the “middle out” to refine their APM strategy (and how it is governed) as well as to establish efforts to rationalize their applications portfolio. As such, APM represents a process of continual refinement. Fortunately, experience also suggests that there are real benefits to be reaped from the successful development of each capability. The paper concludes with some lessons learned based on the collective experience of the members of the focus group.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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