A Novel Approach for API Recommendation in Mashup Development

Li, Chune; Zhang, Richong; Huai, Jinpeng; Sun, Hailong

doi:10.1109/icws.2014.50

Cited by 77 publications

(24 citation statements)

References 13 publications

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“…open API recommendation approach with other three recommendation approaches, which are TF-IDF [40], E-LDA [41], and LDA-FM [31]. e evaluation result is calculated in terms of the recall, precision, and F-measure [42].…”

Section: Comparative Experiment We Compared Mim-basedmentioning

confidence: 99%

HyOASAM: A Hybrid Open API Selection Approach for Mashup Development

Liu

Wang

et al. 2020

Mathematical Problems in Engineering

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At present, Mashup development has attracted much attention in the field of software engineering. It is the focus of this article to use existing open APIs to meet the needs of Mashup developers. Therefore, how to select the most appropriate open API for a specific user requirement is a crucial problem to be solved. We propose a Hybrid Open API Selection Approach for Mashup development (HyOASAM), which consists of two basic approaches: one is a user-story-driven open API discovery approach, and the other is multidimensional-information-matrix- (MIM-) based open API recommendation approach. The open API discovery approach introduces user stories in agile development to capture Mashup requirements. First, it extracts three components from user stories, and then, it extracts three corresponding properties from open API descriptions. Next, the similarity calculation is performed on two sets of data. The open API recommendation approach first uses MIM to store open APIs, Mashups, and the invoking relationship between them. Second, it enters the matrix obtained in the previous step into a factorization machine model to calculate the association scores between the Mashups and the open APIs, and TOP-N open API lists for creating the Mashup are obtained. Finally, experimental comparison and analysis are carried out on the PWeb dataset. The experimental results show that our approach has improved significantly.

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Section: Comparative Experiment We Compared Mim-basedmentioning

confidence: 99%

HyOASAM: A Hybrid Open API Selection Approach for Mashup Development

Liu

Wang

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

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“…Early studies of API ecosystems focused on ProgrammableWeb, a community-maintained catalog of web APIs. Analyses have explored the evolution of this ecosystem [18], [19], how APIs in ProgrammableWeb are (reportedly) used in mashups [20], or utilized such usage relations to recommend web APIs to developers [2], [21]. Other studies assessed web API usage outside of ProgrammableWeb, and specifically in the context of mobile applications.…”

Section: Web Api Characteristics and Ecosystemsmentioning

confidence: 99%

Benchmarking Web API Quality

Bermbach

Wittern

2016

Lecture Notes in Computer Science

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Modern applications increasingly interact with web APIs -reusable components, deployed and operated outside the application, and accessed over the network. Their existence, arguably, spurs application innovations, making it easy to integrate data or functionalities. While previous work has analyzed the ecosystem of web APIs and their design, little is known about web API quality at runtime. This gap is critical, as qualities including availability, latency, or security can severely impact applications and user experience. In this paper, we revisit a 3-month, geo-distributed benchmark of popular web APIs, originally performed in 2015. We repeat this benchmark in 2018 and compare results from these two benchmarks regarding availability and latency. We furthermore introduce new results from assessing web API security measurements, collected both in 2015 and 2018, and results from our attempts to reach out to API providers with the results from our 2015 experiments. Our extensive experiments show that web API qualities vary 1.) based on the geo-distribution of clients, 2.) during our individual experiments, and 3.) between the two experiments. Our findings provide evidence to foster the discussion around web API quality, and can act as a basis for the creation of tools and approaches to mitigate quality issues.Index Terms-Web APIs, Benchmarking, Quality of Service ! 2. We denote an endpoint to be the combination of a resource, identified by a URL, and an HTTP method as proposed in [7].

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“…For example, in the CSCF (Content Similarity and Collaborative Filtering) Web API recommender system, described in [14], users' ratings have been also considered to refine service ranking by applying collaborative filtering techniques. In [22] tags used to annotate both RESTful data services and mashups are classified into topics through a probabilistic distribution. Topics are used to add semantics on top of traditional tagging.…”

Section: Related Workmentioning

confidence: 99%

The role of developers’ social relationships in improving service selection

Bianchini

Antonellis

Melchiori

2016

IJWIS

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Abstract. Recently, Web application development approaches that rely on selection and reuse of third party software components and data services have been proposed, to properly support creativity and productivity of developers. Third party services enable access to huge and valuable data and provide advanced functionalities, tested by millions of users. Service selection techniques often rely on lightweight service descriptions, in terms of categories and (semantic) tags. These selection criteria might be complemented by considering the experience of other developers who used services for designing their own Web applications. In this paper we presents a data service selection framework, apt to provide advanced search and ranking techniques that take into account: (i) lightweight data service descriptions, in terms of (semantic) tags and technical aspects on which service implementations rely (e.g., protocols, formats for data exchange); (ii) previously developed aggregations of data services, to enhance selection by considering services already used in similar contexts (i.e., in applications based on similar data services); (iii) a social network of developers, where social relationships represent explicit endorsements among developers concerning their skill in Web application development starting from third party data service selection. Moreover, developers can also express votes on data service as included into existing applications, and these votes are used to estimate developers' credibility according to a majority-based approach.

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A Novel Approach for API Recommendation in Mashup Development

Cited by 77 publications

References 13 publications

HyOASAM: A Hybrid Open API Selection Approach for Mashup Development

HyOASAM: A Hybrid Open API Selection Approach for Mashup Development

Benchmarking Web API Quality

The role of developers’ social relationships in improving service selection

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