Sustainability has become a pressing concern, especially given the looming effects of climate change. Sustainable development aims to meet current needs while ensuring sustainability of natural systems and the environment so as to not compromise the ability of future generations to meet their own needs. Current software engineering methods, however, do not explicitly support sustainability or sustainable development.
We present a comprehensive review of the existing approaches for Android security analysis. The review is carried out to achieve the following objectives:
The development of a software system is now ever more frequently a part of a larger development effort, including multiple software systems that co-exist in the same environment: a software ecosystem. Though most studies of the evolution of software have focused on a single software system, there is much that we can learn from the analysis of a set of interrelated systems. Topic modeling techniques show promise for mining the data stored in software repositories to understand the evolution of a system.
One of the most difficult tasks in debugging software for a developer is to understand the nature of the fault. Techniques have been proposed by researchers that can help *locate* the fault, but mostly neglected is a way to describe the nature of the fault. We are developing software models, visualizations, and techniques to aid in the diagnosis of the faults in the software.
The rising popularity of mobile apps deployed on battery-constrained devices underlines the need for effectively evaluating their energy properties. However, currently there is a lack of testing tools for evaluating the energy properties of apps. As a result, for energy testing, developers are relying on tests intended for evaluating the functional correctness of apps. Such tests may not be adequate for revealing energy defects and inefficiencies in apps.
Yelp reviews and ratings are important source of information to make informed decisions about a venue. We conjecture that further classification of yelp reviews into relevant categories can help users to make an informed decision based on their personal preferences for categories. Moreover, this aspect is especially useful when users do not have time to read many reviews to infer the popularity of venues across these categories.
Recent introduction of a dynamic permission model in Android, allowing the users to grant and revoke permissions a at the installation of an app, has made it much harder to properly test apps. Since an app's behavior may change depending on the granted permissions, it needs to be tested under a wide range of granted permission combinations.
The number of malicious Android apps is increasing rapidly. Android malware can damage or alter other files or settings, install additional applications, etc. To determine such behaviors, a security analyst can significantly benefit from identifying the family to which an Android malware belongs, rather than only detecting if an app is malicious. Techniques for detecting Android malware, and determining their families, lack the ability to handle certain obfuscations that aim to thwart detection.
ISR
