Search-Based Software Engineering
Editat de Shiva Nejati, Gregory Gayen Limba Engleză Paperback – 3 aug 2019
The 9 research papers and 3 short papers presented together with 1 keynote and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results.
Preț: 316.49 lei
Preț vechi: 395.62 lei
-20% Nou
Puncte Express: 475
Preț estimativ în valută:
55.99€ • 65.33$ • 48.96£
55.99€ • 65.33$ • 48.96£
Carte tipărită la comandă
Livrare economică 16-30 ianuarie 26
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030274542
ISBN-10: 3030274543
Pagini: 208
Ilustrații: XIV, 191 p. 88 illus., 28 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:1st ed. 2019
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030274543
Pagini: 208
Ilustrații: XIV, 191 p. 88 illus., 28 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:1st ed. 2019
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone.- A Systematic Comparison of Search Algorithms for Topic Modelling.- A Study on Duplicate Bug Report Identification.- Constructing Search Spaces for SBST using Machine Learning.- A Review of Ten Years of the Symposium on Search-Based Software Engineering.- Does Diversity Improve the Test Suite Generation for Mobile Applications.- Detect Performance Regression by Combining Static and Dynamic metrics Using Evolutionary Algorithms.- General Program Synthesis using Guided Corpus Generation and Automatic Refactoring.- A Search-Based Approach to Generate MC/DC Test Data for OCL Constraints.- Bio-Inspired Optimization of Test Data Generation for Concurrent Programs.- Revisiting Hyper-Parameter Tuning for Search-based Software Testing.- Towards Automated Boundary Value Testing with Program Derivatives and Search.- Code Naturalness to Assist Search Space Exploration in Search-based Program Repair Methods.- Dorylus:An Ant Colony Based Tool for Automated Test Case Generation.- Software Improvement with Gin.