Automatic Derivation of Performance Models in the Context of Model-Driven SOA
Bibliographic record
Abstract
The thesis proposes a model transformation chain called Performance from Unified Modeling Analysis for Service-Oriented Architecture (SOA) systems (PUMA4SOA), whose purpose is to automatically generate performance models from the UML software design models of SOA systems with performance annotations.The main goal of PUMA4SOA is to enable the analysis of performance properties of software systems in the early software development phases, which helps developing SOA systems that meet their performance requirements.PUMA4SOA extends PUMA, an existing transformation approach from software to performance models developed in our research group.The main differences between PUMA4SOA and PUMA are as follows: a) focus on SOA systems; b) application of Model-Driven Architecture (MDA) principles of considering first software platform-independent models (PIM) which are then transformed into platform-specific models (PSM); c) use of a Platform Completion (PC) feature model to define variability of platform characteristics; d) use of aspect-oriented modeling (AOM) techniques to specify realization of platform features; and e) systematic use of trace-links between different types of models (i.e., software, intermediate and performance models).PUMA4SOA accepts the following input models: the software platform independent model, the deployment model, the PC-feature models and a set of platform aspect models.Similar to PUMA, PUMA4SOA makes use of an intermediate model called Core Scenario Model (CSM).The model transformations chain of PUMA4SOA begins by transforming the UML PIM to a CSM PIM, which in turn is used to generate a CSM PSM using an AOM approach.The third model transformation maps the CSM platform specific model into a performance model (Layered Queuing Network in this case) which is then solved to produce the performance output results. IIIA traceability model is used in PUMA4SOA to navigate between different kinds of models (i.e., UML, CSM and LQN) in order to propagate changes of properties from one model to another and to feed back the LQN output results into the UML design model. Automation of model transformationsYes Yes Yes Yes
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".