Performance of rapidly evolving mobile apps is one the top concerns for users and developers nowadays. Despite efforts researchers API designers to provide with guidelines best practices improving performance apps, bottlenecks are still a significant frequent complaint that impacts ratings apps' chances success. However, little research has been done into understanding actual developers' detecting fixing in apps. In this paper, we present results an empirical study aimed at studying these by...

Application profiling is an important performance analysis technique, when application under test analyzed dynamically to determine its space and time complexities the usage of instructions. A big challenge profile nontrivial web applications with large numbers combinations their input parameter values. Identifying understanding particular subsets inputs leading bottlenecks mostly manual, intellectually intensive laborious procedure. We propose a novel approach for automating bottleneck...

Test Case Prioritization (TCP) is an increasingly important regression testing technique for reordering test cases according to a pre-defined goal, particularly as agile practices gain adoption. To better understand these techniques, we perform the first extensive study aimed at empirically evaluating four static TCP comparing them with state-of-research dynamic techniques across several quality metrics. This was performed on 58 real-word Java programs encompassing 714 KLoC and results in...

Test Case Prioritization (TCP) is an important component of regression testing, allowing for earlier detection faults or helping to reduce testing time and cost. While several TCP approaches exist in the research literature, a growing number studies have evaluated them against synthetic software defects, called mutants. Hence, it currently unclear what extent performance on mutants would be representative achieved real faults. To answer this fundamental question, we conduct first empirical...

The large body of existing research in Test Case Prioritization (TCP) techniques, can be broadly classified into two categories: dynamic techniques (that rely on run-time execution information) and static operate directly source test code). Absent from this current work is a comprehensive study aimed at understanding evaluating the approaches comparing them to set projects. In work, we perform first extensive empirically four TCP with state-of-research different test-case granularities...

During software evolution, the source code of a system frequently changes due to bug fixes or new feature requests. Some these may accidentally degrade performance newly released version. A notable problem regression testing is how find problematic (out large number committed changes) that be responsible for regressions under certain test inputs.

In cloud computing, stakeholders deploy and run their software applications on a sophisticated infrastructure that is owned managed by third-party providers. The ability of given to effectively re-allocate resources referred as elasticity. To enable elasticity, programmers study the behavior write scripts guide provision for these applications. This an imprecise, laborious, manual expensive approach drastically increases cost application deployment maintenance in cloud. We propose approach,...

A goal of performance testing is to find situations when applications unexpectedly exhibit worsened characteristics for certain combinations input values. fundamental question how select a manageable subset the data faster problems in automatically.

Food safety is an important issue for the development of national economy and society. Studying regional food supply demand from perspective land resource carrying capacity can provide new references sustainability. This study uses data farmer herdsmen household questionnaires, statistical data, use other sources to construct a (LCC) assessment framework, targeting residents in representative areas, specifically typical grassland pastoral sandy areas agro-pastoral on Xilin Gol transects. The...

During performance testing, software engineers commonly perform application profiling to analyze an application's execution traces with different inputs understand the behaviors, such as time and space consumption. However, a non-trivial has large number of input data, it is mostly manual identify specific leading bottlenecks. Thus, challenge automate find these inputs. To solve problems, we propose novel approaches, namely FOREPOST, GA-Prof PerfImpact, which automatically profile...

Neurodynamical systems have gradually become a popular research topic owing to their broad applications in such fields as optimization, linear and nonlinear programming, associative memory, pattern recognition, computer vision. In view of some inevitable factors, there been formed various neurodynamical including delayed neural networks, stochastic impulsive reaction-diffusion fuzzy networks. Over the last few decades, considerable attention has devoted this area not only for enriching...

One goal of performance testing is to find specific test input data for exposing bottlenecks and identify the methods responsible these bottlenecks. A big important challenges how deeply understand behaviors a nontrivial software system in terms properly select values finding problematic methods. Thus, we propose this research program automatically analyze link with selecting ones that can expose In addition, further examines corresponding execution traces selected inputs targeting

China’s High-Energy Photon Source (HEPS), the first national highenergy synchrotron radiation light source, is under design and construction. In future, at stage of HEPS, it predicted that 24PB raw experimental data will be produced per month from 14 beamlines. Faced with such a huge scale scientific diverse analysis environments in source disciplines, HEPS computing platform was designed implemented based on container mirroring dynamic orchestration technology to provide users environment....