End-to-end model-transformation comprehension through fine-grained traceability information

Guana, Victor; Stroulia, Eleni

doi:10.1007/s10270-017-0602-0

Cited by 7 publications

(4 citation statements)

References 64 publications

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“…This session was instrumented by a survey that presents one task at a time, in the same order, until all tasks in the questionnaire are answered. The linear questionnaire strategy followed in our study has been used in similar state-of-the art software development and comprehension studies, such as in [49,50]. In the survey, the students were asked to submit the commit hash, in order to have a history that allows to audit the times and code changes.…”

Section: Study Protocolmentioning

confidence: 99%

The LRA Workbench: An IDE for Efficient REST API Composition through Linked Metadata

Serrano

Stroulia

2021

Preprint

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The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking these APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description formats and the development of Linked Data technologies for data integration have motivated our work on the LRA (Linked REST APIs) methodology. LRA relies on RDF service specifications to automate the development process around the usage of Web APIs. This automation represents a great opportunity to systematize and improve the quality of service-oriented application development. However, LRA's reliance on SPARQL as the user-interaction model may hinder its adoption, because it requires developers to learn the intricacies of the unconventional graph data model and its associated datasets. In this paper we have developed the LRA Workbench (LRAWbench), which takes advantage of the emergent schema of Web-API specifications, in order to simplify the formulation of LRA-compliant SPARQL queries. Our empirical evaluation of the LRAWbench usability demonstrates that our tool significantly improves the performance of developers formulating SPARQL queries for LRA. A subsequent study on the effectiveness of the LRAWbench demonstrated that developers using LRA tend to produce code with considerable better structural complexity, in less time, than developers manually composing APIs.

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Section: Study Protocolmentioning

confidence: 99%

The LRA Workbench: An IDE for Efficient REST API Composition through Linked Metadata

Serrano

Stroulia

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Stage 3 (Working session) involved a session with a maximum time restriction of 2.5 h. This session was instrumented by a survey that presents one task at a time, in the same order, until all tasks in the questionnaire are answered. The linear questionnaire strategy followed in our study has been used in similar state-of-the art software development and comprehension studies, such as in [49,50]. In the survey, the students were asked to submit the commit hash, in order to have a history that allows to audit the times and code changes.…”

Section: Study Protocolmentioning

confidence: 99%

“…Although our participants did not report the need to reconsider previous answers, more sophisticated mechanisms are desirable to allow a more flexible answering strategy, and increasing the generality of our results. The linear questionnaire strategy followed in our study has been used in similar state-of-the art software development and comprehension studies, such as in [49,50] The study was divided in three stages in a span of 3 weeks in order to minimize the fatigue of developers. Additionally, our protocol was designed to gradually increase the familiarity with the system, allowing participants to review the training material in between sessions.…”

Section: Limitationsmentioning

confidence: 99%

The LRA Workbench: an IDE for efficient REST API composition through linked metadata

Serrano

Stroulia

2021

J Big Data

Self Cite

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The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the time-consuming and error-prone process of invoking those APIs and composing their responses. The recent emergence of widely-adopted, standardized, Web-API description formats and the development of Linked Data technologies for data integration have motivated our work on the LRA (Linked REST APIs) methodology [1, 2]. LRA relies on RDF service specifications to automate the development process around the usage of Web APIs. This automation represents a great opportunity to systematize and improve the quality of service-oriented application development. However, LRA’s reliance on SPARQL as the user-interaction model may hinder its adoption, because it requires developers to learn the intricacies of the unconventional graph data model and its associated datasets. In this paper we have developed the LRA Workbench ($$LRA_{Wbench}$$ L R A Wbench ), which takes advantage of the emergent schema of Web-API specifications, in order to simplify the formulation of LRA-compliant SPARQL queries. Our empirical evaluation of the $$LRA_{Wbench}$$ L R A Wbench usability demonstrates that our tool significantly improves the performance of developers formulating SPARQL queries for LRA. A subsequent study on the effectiveness of the $$LRA_{Wbench}$$ L R A Wbench demonstrated that developers using LRA tend to produce code with considerable better structural complexity, in less time, than developers manually composing APIs.

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“…The low cost and ease of use of bioprinters have resulted in their widespread use [6], even in undeveloped countries and regions [7,8]. In addition, the model files that define bioprintable objects follow common standards (STL or OBJ) and are easy to distribute and access [9]. Both these factors will help to develop a ubiquitous service [7].…”

Section: Introductionmentioning

confidence: 99%

A Collaborative and Ubiquitous System for Fabricating Dental Parts Using 3D Printing Technologies

2019

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Three-dimensional (3D) printing has great potential for establishing a ubiquitous service in the medical industry. However, the planning, optimization, and control of a ubiquitous 3D printing network have not been sufficiently discussed. Therefore, this study established a collaborative and ubiquitous system for making dental parts using 3D printing. The collaborative and ubiquitous system split an order for the 3D printing facilities to fulfill the order collaboratively and forms a delivery plan to pick up the 3D objects. To optimize the performance of the two tasks, a mixed-integer linear programming (MILP) model and a mixed-integer quadratic programming (MIQP) model are proposed, respectively. In addition, slack information is derived and provided to each 3D printing facility so that it can determine the feasibility of resuming the same 3D printing process locally from the beginning without violating the optimality of the original printing and delivery plan. Further, more slack is gained by considering the chain effect between two successive 3D printing facilities. The effectiveness of the collaborative and ubiquitous system was validated using a regional experiment in Taichung City, Taiwan. Compared with two existing methods, the collaborative and ubiquitous 3D printing network reduced the manufacturing lead time by 45% on average. Furthermore, with the slack information, a 3D printing facility could make an independent decision about the feasibility of resuming the same 3D printing process locally from the beginning.

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End-to-end model-transformation comprehension through fine-grained traceability information

Cited by 7 publications

References 64 publications

The LRA Workbench: An IDE for Efficient REST API Composition through Linked Metadata

The LRA Workbench: An IDE for Efficient REST API Composition through Linked Metadata

The LRA Workbench: an IDE for efficient REST API composition through linked metadata

A Collaborative and Ubiquitous System for Fabricating Dental Parts Using 3D Printing Technologies

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