Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/17036
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorChandrasekaran, K.-
dc.contributor.authorC, Marimuthu.-
dc.date.accessioned2022-01-29T13:16:18Z-
dc.date.available2022-01-29T13:16:18Z-
dc.date.issued2021-
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/17036-
dc.description.abstractSmartphone applications are equipped with energy-hungry resources such as display, GPS, and GPU. Mishandling of these resources and associated APIs might result in an abnormal battery drain. In recent years, researchers have adopted self-adaptive strategies to extend battery life with context information. However, the existing solutions focus on the development and testing phases of software development. Handling the energy-awareness and self-adaptive behavior directly at the development phase would increase the development efforts. Therefore, there is a need to consider these requirements in the early phases of software development life cycle. Thus, in this research work, the concepts of feature modeling, domain-specific modeling languages, and code generation has been adopted to model and develop energy-aware self-adaptive software. The location-based applications have been selected as an application domain to prove the efficacy of the ideas presented in this research work. In addition, a self-adaptive system has been selected as a system domain, and Android has been selected as an operating domain. The first objective aims to empirically analyze and organize the developer’s existing knowledge about energy-saving solutions for location-based applications. The second objective aims to aid the domain analyst with an energy-aware modeling framework by extending the popular feature-oriented domain analysis framework. The third objective aims to develop a domain-specific modeling tool (eSAP) for the energy-aware modeling framework. The fourth objective aims to design and develop a tool named eGEN, which includes a textual domain-specific modeling language and automatic code generator. eGEN helps the domain analyst and developers specify energy-related requirements and generates battery-aware source code that can be used in the existing location-based Android applications. The efficacy of the energyaware modeling framework and developed tools has been validated qualitatively using the case studies in software engineering. The obtained results show that the developed tools eSAP and eGEN help the domain analyst and developers reduce the development efforts for introducing energy-awareness and self-adaptivity in the early phases of software development.en_US
dc.language.isoenen_US
dc.publisherNational Institute of Technology Karnataka, Surathkalen_US
dc.subjectDepartment of Computer Science & Engineeringen_US
dc.subjectEnergy-aware modeling frameworken_US
dc.subjectenergy-saving self-adaptation planningen_US
dc.subjectenergy-saving code generatoren_US
dc.subjectenergy-efficient softwareen_US
dc.titleFeature-Oriented Model-Driven Development of Energy-Aware Self-Adaptive Softwareen_US
dc.typeThesisen_US
Appears in Collections:1. Ph.D Theses

Files in This Item:
File Description SizeFormat 
Thesis_Revised_MarimuthuC(155126CS15FV08)signed.pdf4.48 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.