Validation framework for schema and query translation

Meherwal, Richa

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https://hdl.handle.net/2142/116241 Copy

Description

Title

Validation framework for schema and query translation

Author(s)

Meherwal, Richa

Issue Date

2022-07-18

Director of Research (if dissertation) or Advisor (if thesis)

Chang, Kevin C

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• query translation validation
• schema translation validation
• OAS to GraphQL validation

Abstract

Schema and query translation often requires deep expertise and knowledge of source and target schemas and their mapping constraints. Automated translation solutions help minimize the need for such deep expertise and thus, human involvement. However, using these solutions can still be challenging for a user with limited expertise and knowledge on schemas and their mapping constraints. This is because automated solutions do not guarantee the quality of the translation and mainly rely on the user's knowledge of the schema to rectify translation errors. In this thesis, we aim to help users improve the quality of converting APIs described by OpenAPI Specification into GraphQL. We use a rule-based validation framework and integrate it with LION, a data integration system for web services. We also develop a generic rule set and metrics that guide users with less expertise to create correct translations. Furthermore, the framework is extensible which means that users can extend the framework by adding more rules that may be suitable for their translations. We also provide users with two metrics to help measure the ratio of translations that have been successfully translated and validated.

Graduation Semester

2022-08

Type of Resource

Thesis

Copyright and License Information

Copyright 2022 Richa Meherwal

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