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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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The paper does not mention the challenges and limitations of using performance modelling in the SDLC.
The paper does not explicitly mention the challenges and limitations of using performance modeling in the SDLC.
The paper does not explicitly mention the challenges and limitations of using performance modeling in the SDLC.
Book ChapterDOI
Mihal Brumbulli, Emmanuel Gaudin 
03 Oct 2016
1 Citations
The paper does not mention the challenges and limitations of using performance modeling in the SDLC.
Open access
01 Jan 2016
14 Citations
The provided paper does not mention anything about performance modelling in the SDLC.

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