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Successfully using a software web-service/platform API requires satisfying its conceptual interoperability constraints that are stated within its shared documentation. However, manual and unguided analysis of text in API documents is a tedious and time consuming task. In this work, we present our empirical-based methodology of using machine learning techniques for automatically identifying conceptual...
Successfully integrating a software system with an existing other software system requires, beyond technical mismatches, identifying and resolving conceptual mismatches that might result in worthless integration and costly rework. Often, not all relevant architectural information about the system to integrate with is publicly available, as it is hidden in internal architectural documents and not exposed...
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