Faculty Publications
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Item eGEN: an energy-saving modeling language and code generator for location-sensing of mobile apps(Association for Computing Machinery, Inc, 2022) Boyalakuntla, K.; Marimuthu, M.; Chimalakonda, S.; Chandrasekaran, K.Given the limited tool support for energy-saving strategies during the design phase of android applications, developing battery-aware, location-based android applications is a non-trivial task for developers. To this end, we propose eGEN, consisting of (1) a Domain-Specific Modeling Language (DSML) and (2) a code generator to specify and create native battery-aware, location-based mobile applications. We evaluated eGEN by instrumenting the generated battery-aware code in five location-based, open-source android applications and compared the energy consumption with non-eGEN versions. The experimental results show 188 mA (8.34% of battery per hour) of average reduction in battery consumption while showing only 97 meters of degradation in location accuracy over three kilometers of a cycling path. Hence, we see this tool as a first step in helping developers write battery-aware code in location-based android applications. The GitHub repository with source code and all artifacts is available at https://github.com/Kowndinya2000/egen, and the tool demo video at https://youtu.be/Iadfh4cCw8I. © 2022 ACM.Item Energy Diagnosis of Android Applications: A Thematic Taxonomy and Survey(Association for Computing Machinery, 2021) Marimuthu, C.; Chandrasekaran, K.; Chimalakonda, S.The abnormal energy consumption of Android applications is a significant problem faced by developers and users. In recent years, researchers have invested their efforts to develop energy diagnosis tools that pinpoint and fix the energy bugs from source code automatically. These tools use traditional software engineering methods such as program analysis, refactoring, software repair, and bug localization to diagnose energy inefficiencies. Existing surveys focus only on energy measurement techniques and profiling tools and do not consider automated energy diagnosis tools. Therefore, this article organizes state of the art by surveying 25 relevant studies on Android applications' automatic energy diagnosis. Further, this survey presents a systematic thematic taxonomy of existing approaches from a software engineering perspective. The taxonomy presented in this article would serve as a body of knowledge and help researchers and developers to understand the state of the field better. The future research directions discussed in this article might help prospective researchers to identify suitable topics to improve the current research work in this field. © 2020 ACM.Item How do open source app developers perceive API changes related to Android battery optimization? An empirical study(John Wiley and Sons Ltd, 2021) Marimuthu, C.; Chimalakonda, S.; Chandrasekaran, K.There is an increasing interest shown by researchers and developers in reducing the battery consumption of Android applications. Recently, the battery optimization features such as doze mode, app standby, background execution limits, and background location limits were introduced in the form of API changes. According to the API changes, application developers have to change their source code to manage the behavioral changes caused by operating system limitations. These battery optimization features are evolving rapidly, and the apps show unexpected behaviors until updating the source code. Also, developers find it difficult to cope with the changes. Therefore, there is a need to understand the behavioral changes, application developer's perceptions, and response patterns on the API changes to plan upcoming battery optimization features. In this article, we have collected the relevant GitHub issues from 225 open-source Android repositories and performed a thematic analysis of collected data. This study analyzes the 391 related issues to answer three research questions. This study's important finding is that developers often post issues related to delayed app notifications, inconsistent background location updates, and suspended background tasks, and so on. We found that library developers are showing a quick response to API changes compared with application developers. © 2020 John Wiley & Sons Ltd