Towards Automatically Estimating Porting Effort between Web Service APIs

Jayathilaka, Hiranya; Krintz, Chandra; Wolski, Rich

doi:10.1109/scc.2014.105

Cited by 3 publications

(1 citation statement)

References 38 publications

(22 reference statements)

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“…If EAGER detects that an API which is already deployed in the cloud is being redeployed, it performs a comparison between the old and latest specifications of the API to make sure that the developer is not introducing a backward incompatible change to the API. This comparison is based on our past and ongoing work related to syntactic and semantic similarity of web APIs [4].…”

Section: Eagermentioning

confidence: 99%

EAGER: Deployment-Time API Governance for Modern PaaS Clouds

Jayathilaka

Krintz

Wolski

2015

2015 IEEE International Conference on Cloud Engineering

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Abstract-To track, control, and compel reuse of web APIs, we investigate a new approach to API governance -combined policy, implementation, and deployment control of web APIs. Our approach, called EAGER, provides a software architecture that integrates into PaaS platforms to support systemwide, deployment-time enforcement of governance policies. Specifically, EAGER checks for and prevents backward incompatible API changes from being deployed into production PaaS clouds, enforces service reuse, and facilitates enforcement of other best practices in software maintenance via policies. Our experiments with an EAGER prototype show that enforcing API governance at deployment-time in PaaS clouds is efficient and scalable to thousands of APIs and policies.

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Section: Eagermentioning

confidence: 99%

EAGER: Deployment-Time API Governance for Modern PaaS Clouds

Jayathilaka

Krintz

Wolski

2015

2015 IEEE International Conference on Cloud Engineering

Self Cite

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Conversion Infrastructure for Maintaining High Availability of Web Services Using Multiple Service Providers

Melliar-Smith

Moser

2015

2015 IEEE International Conference on Web Services

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Using Syntactic and Semantic Similarity of Web Apis to Estimate Porting Effort

Jayathilaka¹,

Pucher²,

Krintz³

et al. 2014

STSC

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Service Oriented Architecture (SOA) has altered the way programmers develop applications. Instead of using standalone libraries, programmers today often incorporate curated web services, accessed via well-defined interfaces (APIs), as modules in their applications. Web APIs, however, evolve rapidly, making it critical for developers to be able to compare APIs for similarity and estimate the workload associated with "porting" applications to use different or new APIs (or API versions). Unfortunately, today there is no simple automated mechanism for analyzing the similarity between web APIs and reasoning about the porting effort that will be necessary when the web APIs that an application uses change. To address this limitation, we describe an automated methodology for analyzing API similarity and quantifying the porting effort associated with the use of web APIs. Our approach defines a simple type system and a language with which API developers specify the syntactic and semantic features of APIs. We also define algorithms that transform the syntactic and semantic features of APIs into similarity and porting effort information. We evaluate our approach using both randomly generated and real-world APIs and show that our metric captures the relative difficulty that developers associate with porting an application from one API to another.

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Towards Automatically Estimating Porting Effort between Web Service APIs

Cited by 3 publications

References 38 publications

EAGER: Deployment-Time API Governance for Modern PaaS Clouds

EAGER: Deployment-Time API Governance for Modern PaaS Clouds

Conversion Infrastructure for Maintaining High Availability of Web Services Using Multiple Service Providers

Using Syntactic and Semantic Similarity of Web Apis to Estimate Porting Effort

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