Publicação
GreenSource: repository tailored for green software analysis
| Resumo: | Both energy consumption analysis and energy-aware development have gained the attention of both developers and researchers over the past years. The interest is more notorious due to the proliferation of mobile devices, where energy is a key concern. There is a gap identified in terms of tools and information to detect and identify anomalous energy consumption in Android applications. A large part of the existing tools are based on external hardware (costly solutions in terms of setup-time), through predictive models (requiring previous hardware calibration) or static code analysis methods. We could not identify so far a tool capable of monitor all relevant system resources and components that an application uses and appoint its energy consumption, while being easily integrated with the application and/or with its development environment. Due to the lack of a tool capable of gathering all this information, a natural consequence is the lack of information about the energy consumption of applications and factors that can influence it. This dissertation aims to carry out a study on the energy consumption of applications and mobile devices in the Android platform, having developed in this scope the GreenSource infrastructure, a repository containing the source code, representative metadata and metrics relatively to a large number of applications (and respective execution in physical devices). In order to gather the results, an auxiliary tool has been developed to automatize the process of testing and collect the respective results for each one of the applications. This tool is a software-based solution, allowing to obtain results in terms of consumption through executions made directly on a physical device running the Android platform. The developed framework, the AnaDroid, has the capability to perform static and dynamic analysis of an application, being able to monitor power consumption and usage of resources for each application through tests execution. This is done following a whitebox testing approach, in order to test applications at source code level. It invokes calls to the TrepnLib library at strategic locations of the application code (through instrumentation techniques) to gain control over relevant portions of the source code, like methods and unit tests. In this way the programmer can have results about the use, state and consumption of resources such as energy, CPU, GPU, memory, sensor usage and complexity of developed test cases. The information gathered through the use of the AnaDroid over a large set of applications was stored in GreenSource backend. With the collected results, we expect to be able to characterize and classify applications, as well the tests developed for it. It is intended that this will be made publicly available and serve as a reference for future works and studies. |
|---|---|
| Autores principais: | Rua, Rui António Ramada |
| Assunto: | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867439561016082432 |
|---|---|
| author | Rua, Rui António Ramada |
| author_facet | Rua, Rui António Ramada |
| author_role | author |
| contributor_name_str_mv | Saraiva, João RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Rua, Rui António Ramada\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Saraiva, João RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Rua, Rui António Ramada |
| datacite.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-03-05T15:29:11Z |
| datacite.date.embargoed.fl_str_mv | 2020-03-05T15:29:11Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| datacite.titles.title.fl_str_mv | GreenSource: repository tailored for green software analysis |
| dc.contributor.none.fl_str_mv | Saraiva, João RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Rua, Rui António Ramada |
| dc.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-03-05T15:29:11Z |
| dc.date.embargoed.fl_str_mv | 2020-03-05T15:29:11Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/64275 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| dc.title.fl_str_mv | GreenSource: repository tailored for green software analysis |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | Both energy consumption analysis and energy-aware development have gained the attention of both developers and researchers over the past years. The interest is more notorious due to the proliferation of mobile devices, where energy is a key concern. There is a gap identified in terms of tools and information to detect and identify anomalous energy consumption in Android applications. A large part of the existing tools are based on external hardware (costly solutions in terms of setup-time), through predictive models (requiring previous hardware calibration) or static code analysis methods. We could not identify so far a tool capable of monitor all relevant system resources and components that an application uses and appoint its energy consumption, while being easily integrated with the application and/or with its development environment. Due to the lack of a tool capable of gathering all this information, a natural consequence is the lack of information about the energy consumption of applications and factors that can influence it. This dissertation aims to carry out a study on the energy consumption of applications and mobile devices in the Android platform, having developed in this scope the GreenSource infrastructure, a repository containing the source code, representative metadata and metrics relatively to a large number of applications (and respective execution in physical devices). In order to gather the results, an auxiliary tool has been developed to automatize the process of testing and collect the respective results for each one of the applications. This tool is a software-based solution, allowing to obtain results in terms of consumption through executions made directly on a physical device running the Android platform. The developed framework, the AnaDroid, has the capability to perform static and dynamic analysis of an application, being able to monitor power consumption and usage of resources for each application through tests execution. This is done following a whitebox testing approach, in order to test applications at source code level. It invokes calls to the TrepnLib library at strategic locations of the application code (through instrumentation techniques) to gain control over relevant portions of the source code, like methods and unit tests. In this way the programmer can have results about the use, state and consumption of resources such as energy, CPU, GPU, memory, sensor usage and complexity of developed test cases. The information gathered through the use of the AnaDroid over a large set of applications was stored in GreenSource backend. With the collected results, we expect to be able to characterize and classify applications, as well the tests developed for it. It is intended that this will be made publicly available and serve as a reference for future works and studies. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/5b5afd95-0ee2-41e3-81d4-af1f7b26bf09/download |
| id | rum_0f5eee1fe5d67eddd75b9c8e568f2cd4 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/64275 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/64275 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Rua, Rui António Ramada |
| publishDate | 2018 |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engporBoth energy consumption analysis and energy-aware development have gained the attention of both developers and researchers over the past years. The interest is more notorious due to the proliferation of mobile devices, where energy is a key concern. There is a gap identified in terms of tools and information to detect and identify anomalous energy consumption in Android applications. A large part of the existing tools are based on external hardware (costly solutions in terms of setup-time), through predictive models (requiring previous hardware calibration) or static code analysis methods. We could not identify so far a tool capable of monitor all relevant system resources and components that an application uses and appoint its energy consumption, while being easily integrated with the application and/or with its development environment. Due to the lack of a tool capable of gathering all this information, a natural consequence is the lack of information about the energy consumption of applications and factors that can influence it. This dissertation aims to carry out a study on the energy consumption of applications and mobile devices in the Android platform, having developed in this scope the GreenSource infrastructure, a repository containing the source code, representative metadata and metrics relatively to a large number of applications (and respective execution in physical devices). In order to gather the results, an auxiliary tool has been developed to automatize the process of testing and collect the respective results for each one of the applications. This tool is a software-based solution, allowing to obtain results in terms of consumption through executions made directly on a physical device running the Android platform. The developed framework, the AnaDroid, has the capability to perform static and dynamic analysis of an application, being able to monitor power consumption and usage of resources for each application through tests execution. This is done following a whitebox testing approach, in order to test applications at source code level. It invokes calls to the TrepnLib library at strategic locations of the application code (through instrumentation techniques) to gain control over relevant portions of the source code, like methods and unit tests. In this way the programmer can have results about the use, state and consumption of resources such as energy, CPU, GPU, memory, sensor usage and complexity of developed test cases. The information gathered through the use of the AnaDroid over a large set of applications was stored in GreenSource backend. With the collected results, we expect to be able to characterize and classify applications, as well the tests developed for it. It is intended that this will be made publicly available and serve as a reference for future works and studies.application/pdfporGreenSource: repository tailored for green software analysisRua, Rui António RamadaSaraiva, JoãoHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptTID2023482292020-03-05T15:29:11Z201820182018-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/64275http://purl.org/coar/access_right/c_abf2open accesshttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática7839642 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/5b5afd95-0ee2-41e3-81d4-af1f7b26bf09/download |
| spellingShingle | GreenSource: repository tailored for green software analysis Rua, Rui António Ramada Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| status | SINGLETON |
| subject.other.fl_str_mv | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| title | GreenSource: repository tailored for green software analysis |
| title_full | GreenSource: repository tailored for green software analysis |
| title_fullStr | GreenSource: repository tailored for green software analysis |
| title_full_unstemmed | GreenSource: repository tailored for green software analysis |
| title_short | GreenSource: repository tailored for green software analysis |
| title_sort | GreenSource: repository tailored for green software analysis |
| topic | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| topic_facet | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| url | https://hdl.handle.net/1822/64275 |
| visible | 1 |