Comparison between traditional plan-based and agile software processes according to team size & project domain (A systematic literature review)
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
Background: Agile Software development is becoming the most preferred approach for the process of software development. Since the traditional plan-based methods are rigorous and not flexible with changing requirements, some projects are postponed, go over budget, and are sometimes canceled or started from scratch. Questions remain on whether the traditional plan-based approaches will be replaced by agile. For effective, flexible and high-quality projects, organizations are shifting to flexible methods, where they can change the requirements at any stage of the development process. The purpose of this paper is to compare the plan-based and agile software development processes. The paper will discuss the art of deciding which methodology should be used with regard to the team size and the project domain. In the paper a systematic literature review covers 26 papers between 2000 and 2016. The papers are selected with reference to the size of the team and the domain of the project. The result of the paper illustrate that each methodology has a specific area which it best fits in. An organization should consider all factors and choose the methodology according to the situation. Finally, Agile best fits with small team sizes, for exploratory, and software & web-based projects. Traditional methods best fit large team sizes, for predictable, and reusable artifacts projects. However, they can co-exist.
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 | 0.001 | 0.003 |
| 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 | 0.001 | 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