Mobile application development : practice and experience : 12th Industry Symposium in conjunction with 18th ICDCIT 2022 / Jagannath Singh, Debasish Das, Lov Kumar, Aneesh Krishna, editors.
2022
QA76.59 .M63 2022
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Title
Mobile application development : practice and experience : 12th Industry Symposium in conjunction with 18th ICDCIT 2022 / Jagannath Singh, Debasish Das, Lov Kumar, Aneesh Krishna, editors.
ISBN
9789811968938 electronic book
9811968934 electronic book
9789811968921
9811968926
9811968934 electronic book
9789811968921
9811968926
Published
Singapore : Springer, 2022.
Language
English
Description
1 online resource (1 volume) : illustrations
Item Number
10.1007/978-981-19-6893-8 doi
Call Number
QA76.59 .M63 2022
Dewey Decimal Classification
005.35
Summary
The book constitutes papers of the 12th Industry Symposium held in conjunction with the 18th edition of the International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2022). The focus of the industry symposium is on Mobile Application Development: Practice and Experience. This book focuses on software engineering research and practice supporting any aspects of mobile application development. The book discusses findings in the areas of mobile application analysis, models for generating these applications, testing, debugging & repair, localization & globalization, app review analytics, app store mining, app beyond smartphones and tablets, app deployment, maintenance, and reliability of apps, industrial case studies of automated software engineering for mobile apps, etc. Papers included in the book describe new or improved ways to handle these aspects or address them in a more unified manner, discussing benefits, limitations, and costs of provided solutions. The volume will be useful for master, research students as well as industry professionals.
Note
Conference proceedings.
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Source of Description
Description based on print version record.
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Series
Studies in systems, decision and control ; v. 452.
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Table of Contents
Chapter 1: A survey on Mobile Application Development Models
Chapter 2: Mobile Technology for Smart Agriculture Deployment case for Pearl Millet disease detection
Chapter 3: Energy Consumption Based Profiling of Android Apps
Chapter 4: Impact of Covid-19 on IT Business
Chapter 5: ANNDroid_A framework for Android malware detection using feature selection techniques and machine learning algorithms.
Chapter 2: Mobile Technology for Smart Agriculture Deployment case for Pearl Millet disease detection
Chapter 3: Energy Consumption Based Profiling of Android Apps
Chapter 4: Impact of Covid-19 on IT Business
Chapter 5: ANNDroid_A framework for Android malware detection using feature selection techniques and machine learning algorithms.