Software Engineering and Methodology for Emerging Domains: 16th National Conference, NASAC 2017, Harbin, China, November 4-5, 2017, and 17th National Conference, NASAC 2018, Shenzhen, China, November 23-25, 2018, Revised Selected Papers

Software Engineering and Methodology for Emerging Domains: 16th National Conference, NASAC 2017, Harbin, China, November 4-5, 2017, and 17th National Conference, NASAC 2018, Shenzhen, China, November 23-25, 2018, Revised Selected Papers

ISBN-10:
9811503095
ISBN-13:
9789811503092
Pub. Date:
09/12/2019
Publisher:
Springer Nature Singapore
ISBN-10:
9811503095
ISBN-13:
9789811503092
Pub. Date:
09/12/2019
Publisher:
Springer Nature Singapore
Software Engineering and Methodology for Emerging Domains: 16th National Conference, NASAC 2017, Harbin, China, November 4-5, 2017, and 17th National Conference, NASAC 2018, Shenzhen, China, November 23-25, 2018, Revised Selected Papers

Software Engineering and Methodology for Emerging Domains: 16th National Conference, NASAC 2017, Harbin, China, November 4-5, 2017, and 17th National Conference, NASAC 2018, Shenzhen, China, November 23-25, 2018, Revised Selected Papers

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Overview

This book constitutes the thoroughly refereed proceedings of the 16th National Conference, NASAC 2017, held in Harbin, China, in November 2017, and the 17th National Conference, NASAC 2018, held in Shenzhen, China, in November 2018.

The 6 revised selected papers were selected from 17 submissions for NASAC 2017, and 5 revised selected papers were selected from 20 submissions for NASAC 2018. The papers focus on all aspects of software engineering, e.g. requirements engineering, software methodologies, software analytics, software testing and evolution, and empirical studies.

Product Details

ISBN-13: 9789811503092
Publisher: Springer Nature Singapore
Publication date: 09/12/2019
Series: Communications in Computer and Information Science , #861
Edition description: 1st ed. 2019
Pages: 173
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Intelligent Software Engineering.- Data Mining.
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