Component-Based Systems

Estimating Efforts Using Soft Computing Techniques

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Businesses today are faced with a highly competitive market and fast-changing technologies. In order to meet demanding customers' needs, they rely on high quality software. A new field of study, soft computing techniques, is needed to estimate the efforts invested in component-based software. Component-Based Systems: Estimating Efforts Using Soft Computing Techniques is an important resource that uses computer-based models for estimating efforts of software. It provides an overview of component-based software engineering, while addressing uncertainty involved in effort estimation and expert op...

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Dr. Kirti Seth is researcher and acadmician. She is PhD (Computer Science and Engineering) in the area of "Component Based Systems" from Department of Computer Sciences and Engineering, from AKTU, Lucknow, INDIA in 2016. M.Tech (Computer Science), from Banasthali Vidyapeeth, Banasthali, Rajasthan, INDIA, 2009. She also holds MSc (CS) degree and has been into research and academics for last fourteen years. She has published more than 40 research papers in reputed journals like ACM, Springer and Elsevier and authored four books. She has been participating and organizing seminar, conferences, workshops, expert lecturers and technical events to share knowledge among academicians, researchers and to promote opportunities for new researchers. She has provided training programs for students and faculties on various areas of computer science including Google's techmaker event-2018. She had given keynote talk on many international conferences. Her current research interests include Service Oriented Architecture, Bio Inspired Optimizations, Neural Networks and Component Based Systems. She has been awarded "Young Scientist in Software Engineering-2017" in ARM 2017 on 11th November 2017. She also received "Most Promising Women Educationist" of the year award in India Excellence Summit 2017, on 19th August 2017. Dr. Ashish Seth is presently working as an Associate Professor in School of Computer & Information Engineering in INHA University Tashkent, Uzbekistan since September 2016. He obtained his PhD(CS) in the year 2015 from Punjabi University, Patiala (Punjab). He also holds M.Phil(CS), M.Tech(IT), and MCA degree and has been into research and academics for last fifteen years. He has published many research papers in reputed journals and authored two books. His interest includes reading articles on emerging technologies. He has provided training programs for students and faculties on various areas of computer science. He has been associated with many research and professional societies; he is a senior member of IETI, Hong Kong, associate member of CSI, IEEE, IACSIT, IAENG, CSTA, USA.He has been a consultant for some project such as "Compendium of India's Export Portal for Asean, Korea, Singapore, Japan and top 25 countries" for Indian Institute of Foreign Trade, New Delhi, funded by Ministry of Commerce and Industry, Govt. of India. He is also a consultant for Aziksa, an USA based company to gather the teaching learning activities for its Aziksa tool. He is Consultant for UNDP Uzbekistan in a project to find out the need and subsequent steps needed in reforming the IT education in schools, colleges and Universities in Uzbekistan. For his continuous commitment in research and efforts made to improve teaching learning for the betterment of students, he has been awarded as "Most Promising Educationist -Computer Education" in India Excellence Summit 2017" Dr. Aprna Tripathi is the assistant professor in GLA University Mathura. She received MCA and M.Tech in Software Engineering from HBTI Kanpur and Banasthali Universities in 2002 and 2009 respectively; and a Doctor of Philosophy (PhD) in Computer Science from MNNIT Allahabad in 2015. She has more than one decade experience in academics. She served as a head of department during 2015-2017. She has 34 research papers in various reputed international and national journals, book chapters and conferences. Her area of specialization is software engineering, software testing, big data and data science.