000			01761nam a22001817a 4500
008			250106b |||||||| |||| 00| 0 eng d
020			_a9783030380083
050			_aQA76.758 _b.S253 2020
100			_aSatapathy, Suresh Chandra
245			_aAutomated Software Engineering : _ba deep learning-based approach / _cSuresh Chandra Satapathy, Ajay Kumar Jena, Jagannath Singh, Saurabh Bilgaiyan.
260			_aCham, Switzerland: _bSpringer, _c2020.
300			_a118 Pages; _c23 cm.
440			_aLearning and Analytics in Intelligent Systems 8.
520			_aThis book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the softwares complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering.
650			_aSoftware Engineering.
650			_aMachine Learning.
942			_2lcc _cBK
999			_c6817 _d6817