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Network performance problems are notoriously difficult to diagnose. Prior profiling systems collect performance statistics by keeping information about each network flow, but maintaining per-flow state is not scalable on…

Data Structures and Algorithms · Computer Science 2019-11-19 Zaoxing Liu , Samson Zhou , Ori Rottenstreich , Vladimir Braverman , Jennifer Rexford

The performance model of an application can pro- vide understanding about its runtime behavior on particular hardware. Such information can be analyzed by developers for performance tuning. However, model building and analyzing is…

Performance · Computer Science 2017-05-23 Kewen Meng , Boyana Norris

Just like other software, spreadsheets can contain significant faults. Static analysis is an accepted and well-established technique in software engineering known for its capability to discover faults. In recent years, a growing number of…

Software Engineering · Computer Science 2014-01-30 Daniel Kulesz , Jan-Peter Ostberg

Modern software systems become too complex to be tested and validated. Detecting software partial failures in complex systems at runtime assist to handle software unintended behaviors, avoiding catastrophic software failures and improving…

Software Engineering · Computer Science 2021-10-14 Shiyi Kong , Minyan Lu , Jun Ai , Shuguang Wang

With the recent increase in the quantity of high fidelity games appearing on mobile devices and the recent trend of gaming focused mobile devices, there is a new requirement for a clear and comprehensive measure of the quality of gaming…

Human-Computer Interaction · Computer Science 2019-10-31 Hesham Dar , James Kwan , Yang Liu , Omiros Pantazis , Robert Sharp

Determining whether a configurable software system has a performance bug or it was misconfigured is often challenging. While there are numerous debugging techniques that can support developers in this task, there is limited empirical…

Software Engineering · Computer Science 2022-03-22 Miguel Velez , Pooyan Jamshidi , Norbert Siegmund , Sven Apel , Christian Kästner

Neuromorphic accelerators offer promising platforms for machine learning (ML) inference by leveraging event-driven, spatially-expanded architectures that naturally exploit unstructured sparsity through co-located memory and compute.…

Data is a cornerstone of empirical software engineering (ESE) research and practice. Data underpin numerous process and project management activities, including the estimation of development effort and the prediction of the likely location…

Software Engineering · Computer Science 2020-12-22 Michael F. Bosu , Stephen G. MacDonell

As parallel codes are scaled to larger computing systems, performance models play a crucial role in identifying potential bottlenecks. However, constructing these models analytically is often challenging. Empirical models based on…

Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper sheds light on the issue of automatically asynchronous MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-06 Ayesha Afzal , Georg Hager , Stefano Markidis , Gerhard Wellein

Context: Performance regressions negatively impact execution time and memory usage of software systems. Nevertheless, there is a lack of systematic methods to evaluate the effectiveness of performance test suites. Performance mutation…

This article features extended summaries and retrospectives of some of the recent research done by our research group, SAFARI, on (1) various critical problems in memory systems and (2) how memory system bottlenecks affect graphics…

Hardware Architecture · Computer Science 2018-05-30 Onur Mutlu , Saugata Ghose , Rachata Ausavarungnirun

Android applications (apps) grow dramatically in recent years. Apps are user interface (UI) centric typically. Rapid UI responsiveness is key consideration to app developers. However, we still lack a handy tool for profiling app performance…

Software Engineering · Computer Science 2015-12-29 Yu Kang , Yangfan Zhou , Hui Xu , Michael R. Lyu

DevOps is a modern software engineering paradigm that is gaining widespread adoption in industry. The goal of DevOps is to bring software changes into production with a high frequency and fast feedback cycles. This conflicts with software…

Computer vision applications, especially those using augmented reality technology, are becoming quite popular in mobile devices. However, this type of application is known as presenting significant demands regarding resources. In order to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Fabio Diniz Rossi

Controller networks in today's automotive systems consist of more than 100 ECUs connected by various bus protocols. Seamless operation of the entire system requires a well-orchestrated interaction of these ECUs. Consequently, to ensure…

Systems and Control · Electrical Eng. & Systems 2020-04-29 Max J. Friese , Dirk Nowotka

Numerical software are widely used in safety-critical systems such as aircrafts, satellites, car engines and so on, facilitating dynamics control of such systems in real time, it is therefore absolutely necessary to verify their…

Optimization and Control · Mathematics 2018-10-30 Bai Xue , Naijun Zhan , Yangjia Li , Qiuye Wang

Web Service is an interface which implements business logic. Performance is an important quality aspect of Web services because of their distributed nature. Predicting the performance of web services during early stages of software…

Performance · Computer Science 2012-01-11 Ch Ram Mohan Reddy , D. Evangelin Geetha , K. G. Srinivasa , T. V. Suresh Kumar , K. Rajani Kanth

PerfDetectiveAI, a conceptual framework for performance gap analysis and suggestion in software applications is introduced in this research. For software developers, retaining a competitive edge and providing exceptional user experiences…

Software Engineering · Computer Science 2023-06-13 Vivek Basavegowda Ramu

Online Data Intensive applications (e.g. message brokers, ML inference and databases) are core components of the modern internet, providing critical functionalities to connecting services. The load variability and interference they…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-20 Diogo Landau , Jorge Barbosa , Nishant Saurabh