Proactive Support for Conceptual Interoperability Analysis of Software Units.
Seiten
2018
Fraunhofer Verlag
9783839613382 (ISBN)
Fraunhofer Verlag
9783839613382 (ISBN)
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Conceptual interoperability analysis refers to the process of identifying the conceptual interoperability constraints of two software units in order to detect existing conceptual mismatches between them. The thesis provides framework for supporting effective and efficient conceptual interoperability analysis. This includes a model for the conceptual constraints and mismatches, analysis methods, tools, guidelines, and empirical evaluation studies.
Meaningful exchange of data or services with a software unit requires identifying and satisfying its conceptual constraints. Otherwise, unexpected conceptual mismatches lead to late projects and costly rework. However, for blackbox software providers, it is unguided and time-consuming task to share the conceptual constraints explicitly with third-party clients who also lack the guidance on detecting the conceptual mismatches. To cope with these challenges, we built a Conceptual Interoperability Constraints (COINs) model, which is the base for our Conceptual Interoperability Analysis (COINA) framework. COINA helps architects and analysts to identify the conceptual constraints and mismatches of software units effectively and efficiently. It comprises: (1) Proactive, semi-automatic, in-house preparation for interoperable units that helps providers to share the conceptual constraints with the least effort. (2) A systematic, algorithm-based method for mapping conceptual constraints of systems to detect their mismatches. A multi-run controlled experiment confirmed our hypotheses that our approach significantly increases the effectiveness and efficiency in detecting conceptual mismatches.
Meaningful exchange of data or services with a software unit requires identifying and satisfying its conceptual constraints. Otherwise, unexpected conceptual mismatches lead to late projects and costly rework. However, for blackbox software providers, it is unguided and time-consuming task to share the conceptual constraints explicitly with third-party clients who also lack the guidance on detecting the conceptual mismatches. To cope with these challenges, we built a Conceptual Interoperability Constraints (COINs) model, which is the base for our Conceptual Interoperability Analysis (COINA) framework. COINA helps architects and analysts to identify the conceptual constraints and mismatches of software units effectively and efficiently. It comprises: (1) Proactive, semi-automatic, in-house preparation for interoperable units that helps providers to share the conceptual constraints with the least effort. (2) A systematic, algorithm-based method for mapping conceptual constraints of systems to detect their mismatches. A multi-run controlled experiment confirmed our hypotheses that our approach significantly increases the effectiveness and efficiency in detecting conceptual mismatches.
| Erscheinungsdatum | 22.05.2018 |
|---|---|
| Reihe/Serie | PhD Theses in Experimental Software Engineering ; 60 |
| Zusatzinfo | num. illus. and tab. |
| Verlagsort | Stuttgart |
| Sprache | englisch |
| Maße | 170 x 240 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Schlagworte | B • conceptual constraint and mismatch • Conceptual Constraints and Mismatches • empirical software engineering • Fraunhofer IESE • Integration Analysts • interoperability analysis • machine learning • scientific equipment, experiments & techniques • software architect • Software Architects • software architecture • software engineer • Software Engineers • software interoperability • systems analysis & design • unified modeling language (UML) |
| ISBN-13 | 9783839613382 / 9783839613382 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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