What are the challenges and limitations of using performance modelling in the SDLC?
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Performance modelling in the SDLC faces several challenges and limitations. One challenge is the cost and potential for errors in building performance models for microservice or serverless-based applications in a DevOps context . Another challenge is the complexity of addressing non-functional aspects like performance in the model-driven paradigm, which has been effective for handling functional aspects . Bridging the semantic gap between software models and performance models is also a challenge, requiring information supplied in performance annotations and interpretation of global behavior expressed in Core Scenario Models (CSMs) . Additionally, flexibility is needed for specifying alternative cases and overriding values in the performance model . Finally, evaluating the performance of software releases in continuous integration systems can be difficult due to the lack of a comparable test environment to production systems, but performance models can help overcome this limitation .
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01 Sep 2015 | The paper does not mention the challenges and limitations of using performance modelling in the SDLC. |
43 Citations | The paper does not explicitly mention the challenges and limitations of using performance modeling in the SDLC. |
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