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020 _a9783030023911
_9978-3-030-02391-1
024 7 _a10.1007/978-3-030-02391-1
_2doi
050 4 _aTK7885-7895
050 4 _aTK5105.5-5105.9
072 7 _aUK
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072 7 _aCOM043000
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100 1 _aRandhawa, Tejinder S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMobile Applications
_h[electronic resource] :
_bDesign, Development and Optimization /
_cby Tejinder S. Randhawa.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXVI, 657 p. 110 illus., 68 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1 Software Life Cycle -- 2 Development Fundamentals -- 3 Software Quality Assessment -- 4 Maintainability and Multi‐Platform Development -- 5 User Interaction Optimization -- 6 Performance Acceleration -- 7 Scalability Provisioning -- 8 Reliability Assurance -- 9 Availability and Fault‐Tolerance -- 10 Security and Trust.
520 _aUsing Android as a reference, this book teaches the development of mobile apps designed to be responsive, trustworthy and robust, and optimized for maintainability. As the share of mission-critical mobile apps continues to increase in the ever-expanding mobile app ecosystem, it has become imperative that processes and procedures to assure their reliance are developed and included in the software life cycle at opportune times. Memory, CPU, battery life and screen size limitations of smartphones coupled with volatility associated with mobile environments underlines that the quality assurance strategies that proved to be successful for desktop applications may no longer be effective in mobile apps. To that effect, this book lays a foundation upon which quality assurance processes and procedures for mobile apps could be devised. This foundation is composed of analytical models, experimental test-beds and software solutions. Analytical models proposed in the literature to predict software quality are studied and adapted for mobile apps. The efficacy of these analytical models in prejudging the operations of mobile apps under design and development is evaluated. A comprehensive test suite is presented that empirically assesses a mobile app’s compliance to its quality expectations. Test procedures to measure quality attributes such as maintainability, usability, performance, scalability, reliability, availability and security, are detailed. Utilization of test tools provided in Android Studio as well as third-party vendors in constructing the corresponding test-beds is highlighted. An in-depth exploration of utilities, services and frameworks available on Android is conducted, and the results of their parametrization observed through experimentation to construct quality assurance solutions are presented. Experimental development of some example mobile apps is conducted to gauge adoption of process models and determine favorable opportunities for integrating the quality assurance processes and procedures in the mobile app life cycle. The role of automation in testing, integration, deployment and configuration management is demonstrated to offset cost overheads of integrating quality assurance process in the life cycle of mobile apps. .
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aApplication software.
650 0 _aComputer programming.
650 1 4 _aComputer Engineering and Networks.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aProgramming Techniques.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030023898
776 0 8 _iPrinted edition:
_z9783030023904
856 4 0 _uhttps://doi.org/10.1007/978-3-030-02391-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c177825
_d177825