Software Analysis, Testing, and Evolution
8th International Conference, SATE 2018, Shenzhen, Guangdong, China, November 23-24, 2018, Proceedings
Published on 20. November 2018
Book
Paperback/Softback
X, 219 pages
978-3-030-04271-4 (ISBN)
Description
This book constitutes the refereed proceedings of the 8th International Conference on Software Analysis, Testing, and Evolution, SATE 2018. The conference was co-located with the national Software Application Conference, NASAC 2018, and was held in Shenzhen, Guangdong, in November 2018. The 13 full papers presented were carefully reviewed and selected from 34 submissions. The papers describe results related to software analysis, testing and evolution, including theoretical research, empirical study, new technology, case study and industrial practice.
More details
Series
Edition
2018 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
57 s/w Abbildungen, 28 farbige Abbildungen
X, 219 p. 85 illus., 28 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
359 gr
ISBN-13
978-3-030-04271-4 (9783030042714)
DOI
10.1007/978-3-030-04272-1
Schweitzer Classification
Other editions
Additional editions
Lei Bu | Yingfei Xiong
Software Analysis, Testing, and Evolution
8th International Conference, SATE 2018, Shenzhen, Guangdong, China, November 23-24, 2018, Proceedings
E-Book
11/2018
Springer
€53.49
Available for download
Content
Which Defect Should Be Fixed First? Semantic Prioritization of Static Analysis Report.- Software Bug Localization Based on Key Range Invariants.- Evaluating the Strategies of Statement Selection in Automated Program Repair.- Evaluating and Integrating Diverse Bug Finders for Effective Program Analysis.- Recognizing potential runtime types from Python Docstrings.- An Empirical Study of Dynamic Types for Python Projects.- What Strokes to Modify in the Painting? Code Changes Prediction for Object-Oriented Software.- How Reliable Is Your Outsourcing Service for Data Mining? A Metamorphic Method for Verifying the Result Integrity.- CMSuggester: Method Change Suggestion to Complement Multi-Entity Edits.- Mining Function Call Sequence Patterns across Different Versions of the Project for Defect Detection.- Parallel Reachability Testing Based on Hadoop MapReduce.- An Automated Test Suite Generating Approach for Stateful Web Services.