Mining Software Engineering Data for Software Reuse by Themistoklis Diamantopoulos
This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance.
The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data.
Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effortthrough software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering.
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Game Theoretic Problems in Network Economics and Mechanism Design Solutions
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Ontological Engineering
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R-Trees: Theory and Applications
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Intelligence Management
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Secure Information Management Using Linguistic Threshold Approach
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Hierarchical Feature Selection for Knowledge Discovery
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Developing Multi-Database Mining Applications
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Seriation in Combinatorial and Statistical Data Analysis
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Uncertainty Handling and Quality Assessment in Data Mining
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Knowledge Discovery in Multiple Databases
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Meta-Programming and Model-Driven Meta-Program Development
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Smart Systems for E-Health
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Trends in Interactive Visualization
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Business Intelligence and Performance Management
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Privacy and Anonymity in Information Management Systems
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Scientific Data Analysis using Jython Scripting and Java
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Adaptive Resonance Theory in Social Media Data Clustering
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Agent-Based Service-Oriented Computing
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Knowledge Processing with Interval and Soft Computing
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Learning Representation for Multi-View Data Analysis
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Data Mining with Computational Intelligence
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Creating Web-based Laboratories
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Data Complexity in Pattern Recognition
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Representation and Management of Narrative Information
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Emergent Web Intelligence: Advanced Information Retrieval
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Machine Learning and Data Mining for Computer Security
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Data Mining for Social Robotics
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Convergence and Knowledge Processing in Multi-Agent Systems
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Artificial Intelligence and Economic Theory: Skynet in the Market
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Advanced Methods for Knowledge Discovery from Complex Data
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Understanding Information
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Robust Representation for Data Analytics
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Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
| SKU | Unavailable |
| ISBN 13 | 9783030301057 |
| ISBN 10 | 3030301052 |
| Title | Mining Software Engineering Data for Software Reuse |
| Author | Themistoklis Diamantopoulos |
| Series | Advanced Information And Knowledge Processing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-03-31 |
| Number of pages | 242 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |