Prochlo: Strong privacy for analytics in the crowd
The large-scale monitoring of computer users' software activities has become commonplace,
eg, for application telemetry, error reporting, or demographic profiling. This paper describes …
eg, for application telemetry, error reporting, or demographic profiling. This paper describes …
Performance-influence models for highly configurable systems
Almost every complex software system today is configurable. While configurability has many
benefits, it challenges performance prediction, optimization, and debugging. Often, the …
benefits, it challenges performance prediction, optimization, and debugging. Often, the …
Understanding and detecting real-world performance bugs
Developers frequently use inefficient code sequences that could be fixed by simple patches.
These inefficient code sequences can cause significant performance degradation and …
These inefficient code sequences can cause significant performance degradation and …
Characterizing and detecting performance bugs for smartphone applications
Smartphone applications' performance has a vital impact on user experience. However,
many smartphone applications suffer from bugs that cause significant performance …
many smartphone applications suffer from bugs that cause significant performance …
{AppInsight}: Mobile App Performance Monitoring in the Wild
The mobile-app marketplace is highly competitive. To maintain and improve the quality of
their apps, developers need data about how their app is performing in the wild. The …
their apps, developers need data about how their app is performing in the wild. The …
Not all bugs are the same: Understanding, characterizing, and classifying bug types
Modern version control systems, eg, GitHub, include bug tracking mechanisms that
developers can use to highlight the presence of bugs. This is done by means of bug reports …
developers can use to highlight the presence of bugs. This is done by means of bug reports …
Toddler: Detecting performance problems via similar memory-access patterns
Performance bugs are programming errors that create significant performance degradation.
While developers often use automated oracles for detecting functional bugs, detecting …
While developers often use automated oracles for detecting functional bugs, detecting …
Detecting performance anti-patterns for applications developed using object-relational mapping
Object-Relational Mapping (ORM) provides developers a conceptual abstraction for
mapping the application code to the underlying databases. ORM is widely used in industry …
mapping the application code to the underlying databases. ORM is widely used in industry …
Data-efficient performance learning for configurable systems
Many software systems today are configurable, offering customization of functionality by
feature selection. Understanding how performance varies in terms of feature selection is key …
feature selection. Understanding how performance varies in terms of feature selection is key …
White-box analysis over machine learning: Modeling performance of configurable systems
Performance-influence models can help stakeholders understand how and where
configuration options and their interactions influence the performance of a system. With this …
configuration options and their interactions influence the performance of a system. With this …