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Research and Evidence in Software Engineering From Empirical Studies to Open Source Artifacts 1st Edition by Varun Gupta, Chetna Gupta ISBN 9780367358525 0367358522

Name: Research and Evidence in Software Engineering From Empirical Studies to Open Source Artifacts 1st Edition by Varun Gupta, Chetna Gupta ISBN 9780367358525 0367358522
SKU: EB-35125574
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Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts 1st Edition Varun Gupta Digital Instant Download

Author(s): Varun Gupta, Chetna Gupta

ISBN(s): 9780367358525, 0367358522

Edition: 1

File Details: PDF, 45.61 MB

Year: 2021

Language: English

SKU: EB-35125574 Category: Computers - Programming Tags: Chetna Gupta, Varun Gupta

Description

Research and Evidence in Software Engineering From Empirical Studies to Open Source Artifacts 1st Edition by Varun Gupta, Chetna Gupta – Ebook PDF Instant Download/Delivery: 9780367358525 ,0367358522
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Product details:

ISBN 10: 0367358522
ISBN 13: 9780367358525
Author: Varun Gupta, Chetna Gupta

Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts introduces advanced software engineering to software engineers, scientists, postdoctoral researchers, academicians, software consultants, management executives, doctoral students, and advanced level postgraduate computer science students. This book contains research articles addressing numerous software engineering research challenges associated with various software development-related activities, including programming, testing, measurements, human factors (social software engineering), specification, quality, program analysis, software project management, and more. It provides relevant theoretical frameworks, empirical research findings, and evaluated solutions addressing the research challenges associated with the above-mentioned software engineering activities. To foster collaboration among the software engineering research community, this book also reports datasets acquired systematically through scientific methods and related to various software engineering aspects that are valuable to the research community. These datasets will allow other researchers to use them in their research, thus improving the quality of overall research. The knowledge disseminated by the research studies contained in the book will hopefully motivate other researchers to further innovation in the way software development happens in real practice.

Research and Evidence in Software Engineering From Empirical Studies to Open Source Artifacts 1st Edition Table of contents:

1 Performance of Execution Tracing with Aspect-Oriented and Conventional Approaches

2 A Survey on Software Test Specification Qualities for Legacy Software Systems

3 Whom Should I Talk To?: And How That Can Affect My Work

4 Software Project Management: Facts versus Beliefs and Practice

5 Inter-Parameter Dependencies in Real-World Web APIs: The IDEA Dataset

6 Evaluating Testing Techniques in Highly-Configurable Systems: The Drupal Dataset

7 A Family of Experiments to Evaluate the Effects of Mindfulness on Software Engineering Students: The MetaMind Dataset

8 Process Performance Indicators for IT Service Management: The PPI Dataset

9 Prioritization in Automotive Software Testing: Systematic Literature Review and Directions for Future Research

10 Deep Embedding of Open Source Software Bug Repositories for Severity Prediction

11 Predict Who: An Intelligent Game Using NLP and Knowledge Graph Model

12 Mining Requirements and Design Documents in Software Repositories Using Natural Language Processing and Machine Learning Approaches

13 Empirical Studies on Using Pair Programming as a Pedagogical Tool in Higher Education Courses: A Systematic Literature Review

14 Programming Multi-Agent Coordination Using NorJADE Framework

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