On the Semantic Detection of Cloud API (Anti)Patterns

On the Semantic Detection of Cloud API (Anti)Patterns. Brabra, H., Mtibaa, A., Petrillo, F., Merle, P., Sliman, L., Moha, N., Gaaloul, W., Gu�h�neuc, Y., Benatallah, B., & Gargouri, F. Information and Software Technology (IST), 107(3):65–82, Elsevier, March, 2019. 17 pages.

Paper abstract bibtex

Context. Open standards are urgently needed for enabling software interoperability in Cloud Computing. Open Cloud Computing Interface (OCCI) provides a set of best design principles to create interoperable REST management APIs. Although OCCI is the only standard addressing the management of any kind of cloud resources, it does not support a range of best principles related to REST design. This often worsens REST API quality by decreasing their understandability and reusability. Objective. We aim at assisting cloud developers to enhance their REST management APIs by providing a compliance evaluation of OCCI and REST best principles and a recommendation support to comply with these principles. Method. First, we leverage patterns and anti-patterns to drive respectively the good and poor practices of OCCI and REST best principles. Then, we propose a semantic-based approach for defining and detecting REST and OCCI (anti)patterns and providing a set of correction recommendations to comply with both REST and OCCI best principles. We validated this approach by applying it on cloud REST APIs and evaluating its accuracy, usefulness and extensibility. Results. We found that our approach accurately detects OCCI and REST(anti)patterns and provides useful recommendations. According to the compliance results, we reveal that there is no widespread adoption of OCCI principles in existing APIs. In contrast, these APIs have reached an acceptable level of maturity regarding REST principles. Conclusion. Our approach provides an effective and extensible technique for defining and detecting OCCI and REST (anti)patterns in Cloud REST APIs. Cloud software developers can benefit from our approach and defined principles to accurately evaluate their APIs from OCCI and REST perspectives. This contributes in designing interoperable, understandable, and reusable Cloud management APIs. Thank to the compliance analysis and the recommendation support, we also contribute to improving these APIs, which make them more straightforward.

@ARTICLE{Brabra19-IST-SemanticDetectionCloudAPI,
   AUTHOR       = {Hayet Brabra and Achraf Mtibaa and F�bio Petrillo and 
      Philippe Merle and Layth Sliman and Naouel Moha and Walid Gaaloul and 
      Yann-Ga�l Gu�h�neuc and Boualem Benatallah and Fa�ez Gargouri},
   JOURNAL      = {Information and Software Technology (IST)},
   TITLE        = {On the Semantic Detection of Cloud API (Anti)Patterns},
   YEAR         = {2019},
   MONTH        = {March},
   NOTE         = {17 pages.},
   NUMBER       = {3},
   PAGES        = {65&ndash;82},
   VOLUME       = {107},
   EDITOR       = {Claes Wohlin},
   KEYWORDS     = {Topic: <b>Design patterns</b>, 
      Rubrique : <b>patrons de conception</b>, 
      Topic: <b>Code and design smells</b>, 
      Rubrique : <b>mauvaises pratiques</b>, Journal: <b>IST</b>},
   PUBLISHER    = {Elsevier},
   URL          = {http://www.ptidej.net/publications/documents/IST19.doc.pdf},
   ABSTRACT     = {Context. Open standards are urgently needed for enabling 
      software interoperability in Cloud Computing. Open Cloud Computing 
      Interface (OCCI) provides a set of best design principles to create 
      interoperable REST management APIs. Although OCCI is the only 
      standard addressing the management of any kind of cloud resources, it 
      does not support a range of best principles related to REST design. 
      This often worsens REST API quality by decreasing their 
      understandability and reusability. Objective. We aim at assisting 
      cloud developers to enhance their REST management APIs by providing a 
      compliance evaluation of OCCI and REST best principles and a 
      recommendation support to comply with these principles. Method. 
      First, we leverage patterns and anti-patterns to drive respectively 
      the good and poor practices of OCCI and REST best principles. Then, 
      we propose a semantic-based approach for defining and detecting REST 
      and OCCI (anti)patterns and providing a set of correction 
      recommendations to comply with both REST and OCCI best principles. We 
      validated this approach by applying it on cloud REST APIs and 
      evaluating its accuracy, usefulness and extensibility. Results. We 
      found that our approach accurately detects OCCI and 
      REST(anti)patterns and provides useful recommendations. According to 
      the compliance results, we reveal that there is no widespread 
      adoption of OCCI principles in existing APIs. In contrast, these APIs 
      have reached an acceptable level of maturity regarding REST 
      principles. Conclusion. Our approach provides an effective and 
      extensible technique for defining and detecting OCCI and REST 
      (anti)patterns in Cloud REST APIs. Cloud software developers can 
      benefit from our approach and defined principles to accurately 
      evaluate their APIs from OCCI and REST perspectives. This contributes 
      in designing interoperable, understandable, and reusable Cloud 
      management APIs. Thank to the compliance analysis and the 
      recommendation support, we also contribute to improving these APIs, 
      which make them more straightforward.}
}

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Open standards are urgently needed for enabling software interoperability in Cloud Computing. Open Cloud Computing Interface (OCCI) provides a set of best design principles to create interoperable REST management APIs. Although OCCI is the only standard addressing the management of any kind of cloud resources, it does not support a range of best principles related to REST design. This often worsens REST API quality by decreasing their understandability and reusability. Objective. We aim at assisting cloud developers to enhance their REST management APIs by providing a compliance evaluation of OCCI and REST best principles and a recommendation support to comply with these principles. Method. First, we leverage patterns and anti-patterns to drive respectively the good and poor practices of OCCI and REST best principles. Then, we propose a semantic-based approach for defining and detecting REST and OCCI (anti)patterns and providing a set of correction recommendations to comply with both REST and OCCI best principles. We validated this approach by applying it on cloud REST APIs and evaluating its accuracy, usefulness and extensibility. Results. We found that our approach accurately detects OCCI and REST(anti)patterns and provides useful recommendations. According to the compliance results, we reveal that there is no widespread adoption of OCCI principles in existing APIs. In contrast, these APIs have reached an acceptable level of maturity regarding REST principles. Conclusion. Our approach provides an effective and extensible technique for defining and detecting OCCI and REST (anti)patterns in Cloud REST APIs. Cloud software developers can benefit from our approach and defined principles to accurately evaluate their APIs from OCCI and REST perspectives. 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Open standards are urgently needed for enabling \r\n software interoperability in Cloud Computing. Open Cloud Computing \r\n Interface (OCCI) provides a set of best design principles to create \r\n interoperable REST management APIs. Although OCCI is the only \r\n standard addressing the management of any kind of cloud resources, it \r\n does not support a range of best principles related to REST design. \r\n This often worsens REST API quality by decreasing their \r\n understandability and reusability. Objective. We aim at assisting \r\n cloud developers to enhance their REST management APIs by providing a \r\n compliance evaluation of OCCI and REST best principles and a \r\n recommendation support to comply with these principles. Method. \r\n First, we leverage patterns and anti-patterns to drive respectively \r\n the good and poor practices of OCCI and REST best principles. 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Cloud software developers can \r\n benefit from our approach and defined principles to accurately \r\n evaluate their APIs from OCCI and REST perspectives. This contributes \r\n in designing interoperable, understandable, and reusable Cloud \r\n management APIs. 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