Software Performance Analysis Research Articles

Gestión y evaluación del rendimiento en baloncesto: una revisión sistemática del software (Management and performance analysis in basketball: a systematic review of software)

Introducción: La gestión de los recursos y el análisis del rendimiento son determinantes en cualquier entidad deportiva. En el caso de deportes de equipo como el baloncesto, este tipo de herramientas son básicas para ayudar en la toma de decisiones. Objetivos: Realizar una revisión bibliográfica sobre las tendencias actuales en el desarrollo de sistemas informáticos de gestión deportiva y análisis del rendimiento. Y revisar las herramientas informáticas que en la actualidad prestan este tipo de servicios. Método: Se realizó una búsqueda bibliográfica exhaustiva en cinco bases de datos de referencia en investigación deportiva, obteniendo 717 resultados de los cuales se consideraron relevantes un total de 58. Además, se realizó una búsqueda electrónica de herramientas informáticas de referencia en el sector deportivo y se han analizado 22 de ellas, estudiando sus características, autores, presupuesto y limitaciones. Resultados: Existen características comunes en el desarrollo de herramientas de gestión y análisis del rendimiento deportivo: acceso web, calendario de planificación, registro de la evolución de los jugadores, repositorios de ejercicios y gestión económica, entre otras. Conclusiones: Tradicionalmente no se han integrado las herramientas de gestión y análisis del rendimiento en baloncesto, pero sí existe software que proporcione ambos servicios en fútbol. Los estudios futuros versarán sobre cuestiones de privacidad de datos y la mejora de los sistemas expertos.Abstract. Background: Human resources management and performance analysis are decisive for any sport institution. Moreover, sport managers being in charge of sport clubs must tackle specific issues related to the sport sector. For team sports like basketball, these kind of tools are very important to help at analysis and decision making. Objectives: To find current trends at sport management and performance analysis software. Besides, to review actual management and performance software tools. Method: An exhaustive scientific literature research has been made for five sport-specific research databases. 717 results were gathered and 58 of them were relevant to this study. Some further electronic research was made in order to find valuable software tools for this field. 22 of them were revised taking into account their features, authors, budget and limitations. Results: Common features have been identified for the development of management and performance analysis of sports. Some common features for this kind of software are: web access, planning calendar, player evolution following, exercise databases and economic management, among others. Conclusions: Traditionally, management and performance analysis have not been integrated in one tool for basketball, but some new software is being designed for supporting both in football (soccer). Future studies will tackle data privacy and the improvement of the use of expert systems.

A Novel Method for Allocating Software Test Cases

Abstract Operational Profile is found to be an important technique for critical fault removal .Software Operational Profile (SOP) plays a vital role in reliability estimation, quality valuation, performance analysis and test case allocation of software. However, some problems are detected by software experts with the development of SOP as data resources are very limited and large effort is required to convert gathered data into point estimate. Also uncertainty is involved with SOP as it often changes during operational phase. Software operational profile plays a crucial role in improving the software quality. Therefore, in this paper, software test case allocation using fuzzy logic based on operational profile based is proposed and it takes usage data in terms of linguistic variable. The model is validated with the existing literature. Validation result is satisfactory.

Performance analysis of software for identification of intestinal parasites

Introduction:Intestinal parasites are among the most frequent diagnoses worldwide. An accurate clinical diagnosis of human parasitic infections depends on laboratory confirmation for specific differentiation of the infectious agent.Objectives:To create technological solutions to help parasitological diagnosis, through construction and use of specific software.Material and method:From the images obtained from the sediment, the software compares the morphometry, area, perimeter and circularity, and uses the information on specific morphological and staining characteristics of parasites and allows the potential identification of parasites.RESULTS:Our results demonstrate satisfactory performance, from a total of 204 images analyzed, 81.86% had the parasite correctly identified by the computer system, and 18.13% could not be identified, due to the large amount of fecal debris in the sample evaluated.Discussion:Currently the techniques used in Parasitology area are predominantly manual, probably being affected by variables, such as attention and experience of the professional. Therefore, the use of computerization in this sector can improve the performance of parasitological analysis.Conclusions:This work contributes to the computerization of healthcare area, and benefits both health professionals and their patients, in addition to provide a more efficient, accurate and secure diagnosis.

Performance and power profiling for emulated Android systems

Simulation is a common approach for assisting system design and optimization. For system-wide optimization, energy and computational resources are often the two most critical issues. Monitoring the energy state of each hardware component and measuring the time spent in each state is needed for accurate energy and performance prediction. For software optimization, it is important to profile the energy and the time consumed by each software construct in a realistic operating environment with a proper workload. However, the conventional approaches of simulation often fail to produce satisfying data. First, building a cycle-accurate simulation environment for a complex system, such as an Android smartphone, is difficult and can take a long time. Second, a slow simulation can significantly alter the behavior of multithreaded, I/O-intensive applications and can affect the accuracy of profiles. Third, existing software-based profilers generally do not work on simulators, which makes it difficult for performance analysis of complicated software, for example, Java applications executed by the Dalvik VM in an Android system. To address these aforementioned problems, we proposed and prototyped a framework, called virtual performance analyzer (VPA). VPA takes advantage of an existing emulator or virtual machine monitor to reduce the complexity of building a simulator. VPA allows the user to selectively and incrementally integrate timing models and power models into the emulator with our carefully designed performance/power monitors, tracing facility, and profiling tools to evaluate and analyze the emulated system. The emulated system can perform at different levels of speed to help verify if the profile data are impacted by the emulation speed. Finally, VPA supports existing software-based profiles and enables non-intrusive tracing/profiling by minimizing the probe effect. Our experimental results show that the VPA framework allows users to quickly establish a performance/power evaluation environment and gather useful information to support system design and software optimization for Android smartphones.

Classification Efficiency in Wheelchair Rugby: Throwing Analysis

This study analyzed the ability of wheelchair rugby players to complete four commonly used passing techniques. A total of 15 athletes were tested and their data processed using KINOVEA sports performance analysis software and kinematic principles in order to derive quantitative performance indicators such as throw force, power and velocity for each of the passing techniques. Of particular interest to this study were the differences between athletes with and without triceps and those who had Deltoid - Triceps Transfer. The correlation between throwing abilities and current wheelchair rugby classification was also analyzed. Results showed that the entire no triceps group was able to throw using a chest pass and an impact pass; however only one third could perform the overarm passing technique and none were able to perform the sidearm pass technique. This group had an average throw distance of 4.8m. Furthermore, the deltoid-triceps participants were all able to throw a chest pass and an impact pass; however only one half could complete the overarm passing technique and none were able to perform the sidearm pass technique. This group had an average throw distance of 3.5m The group with triceps performed far better overall; with all participants being able to complete all throwing techniques with an average a throw distance of 8m. Finally, as expected, the able-bodied athletes performed the best of the four groups with an average throw distance of 12.3m. The triceps group had an average classification of 2, the no triceps group had an average classification of 0.5 and the deltoid-triceps transfer group had an average classification of 1. These current classifications are a good correlation when compared with the results of this study; except for the deltoid-triceps transfer athletes, who from the results of this study should have the throwing performance of a 0.5 point athlete.

Book Reviews

The INFORMS Journal on Computing Book Reviews section covers books on subjects at the interface between operations research and computer science. We welcome books on theory, applications, computer systems, and generally any subject covered by a JOC area, or any combination of these. This includes both printed and electronic books. In addition, we consider comparative reviews, i.e., several books on one relevant topic. Team reviews are also possible, particularly for a large, broad-scope book such as an encyclopedia. Please send your suggestions for books to be reviewed to the JOC Book Reviews Editor. This issue contains two reviews of books that approach the general topic of algorithms from different perspectives. David Bader, professor at Georgia Tech's College of Computing, reviews A Guide to Experimental Algorithmics, by Catherine McGeoch. This book, aimed at software developers, describes the practice of performance analysis and tuning of software. Topics include strategies for test-driven development, experimental designs, and statistical analysis techniques. Lance Fortnow's The Golden Ticket: P, NP, and the Search for the Impossible is a book for general readers about complexity theory. The reviewer is Mike Trick, senior associate dean of Carnegie Mellon's Tepper School of Business, and a widely-read blogger about operations research. The book attempts to introduce the nonspecialist reader to the field of algorithmic complexity and the problem of whether P = NP. To the extent that it is successful, it should help improve the general public's understanding of the work that computational operations researchers do.

Adapting system execution traces to support analysis of software system performance properties

UNITE is a method and tool that analyzes software system performance properties, e.g., end-to-end response time, throughput, and service time, via system execution traces. UNITE, however, assumes that a system execution trace contains properties (e.g., identifiable keywords, unique message instances, and enough variation among the same event types) to support performance analysis. With proper planning, it is possible to ensure that properties required to support such analysis are incorporated in the generated system execution trace. It, however, is not safe to assume this to be the case with many existing software systems.This article therefore presents a method and a tool called the System Execution Trace Adaptation Framework (SETAF), which is built atop of UNITE and adapts system execution traces to support performance analysis of software systems. It also presents examples and results of applying SETAF to different open-source projects. The results show that SETAF enables proper performance analysis via system execution traces without requiring developers to make modifications to the originating software system's source code, which can be a expensive and time-consuming task.

Modeling, Analysis and Simulation of Bluetooth Process Based on SystemView

Bluetooth is a wireless system designed for short range connections of computing and telecommunication devices, aimed at cable replacement and personal networking. The main goal of this paper is to present a simulation environment for modeling interference based on frequency hopping spread spectrum and GFSK modulation. In this article, a complete structure of Bluetooth system model is established, and simulation procedures are given by applying SystemView, which is used as tool software for dynamic system simulation and performance analysis. In this context, the simulation model is used to emulate the Bluetooth process and analyze the results. The simulation model with SystemView could not only helps gain a better understanding of the basic principle and working modes of Bluetooth process, but also acts as a development platform for further research.

Comparison of myocardial tagging and feature tracking in patients with severe aortic stenosis

Transcatheter aortic valve implantation (TAVI) has become an effective treatment for severe aortic stenosis (AS) in patients considered to be at high surgical risk. However, data relating to myocardial function and deformation in these patients are rare. Cardiovascular magnetic resonance (CMR) tagging has been established as non-invasive technique for the accurate measurement of myocardial motion. However, additional tagging datasets are necessary and the post-processing procedure is time-consuming. Recently, the novel technique of feature tracking (FT) was introduced, with which myocardial strain can be derived directly from balanced steady-state free precession (bSSFP) cine sequences. The study aim was to compare tagging with FT in patients with high-grade AS and who had been considered for TAVI. Thirty patients with severe AS underwent cardiac magnetic resonance imaging at 1.5 T (Philips Achieva). A stack of serial short-axis slices was used to assess left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), and LV mass and function. TomTec 2D Cardiac Performance Analysis software was used to derive myocardial deformation parameters from three short-axis cine views (basal, medial and apical levels) using bSSFP. All patients also underwent myocardial tagging on identical short-axis views, and data acquired from FT and tagging were compared. The mean left ventricular ejection fraction (LVEF), LVEDV and LVESV (57 ± 14%, 158 ± 58 ml, and 74 ± 48 ml, respectively) were all normal. All patients demonstrated concentric hypertrophy of the left ventricle with an increased basal septal thickness (16 ± 3 mm), LV mass (126 ± 40 g) and indexed LV mass (68 ± 23 g/m2, papillary muscles excluded). Bland-Altman analysis revealed a reasonable agreement between basal and medial circumferential strain (cc), and a good correlation was observed between tagging and FT for the derived basal and medial cc (Pearson's correlation coefficient 0.83 for basal, 0.74 for medial). Basal rotation was impaired compared to previous studies in patients with AS, but medial and apical rotations were comparable. The apical peak diastolic rotation velocity was faster compared to earlier analyses. Rotation, peak systolic and end-diastolic rotation velocity did not demonstrate any correlation or acceptable agreement between FT and tagging. The inter-observer agreement as assessed by the intra- class correlation coefficient for FT showed good results for the cc (basal 0.94, medial 0.83, apical 0.75). To the present authors' knowledge, this is the first study to assess myocardial motion using tagging and FT in patients with AS prior to TAVI. A reasonable agreement was found for the basal and medial cc between both techniques. Estimated cc-values using FT were systematically higher than those with tagging, but this might have been due to the different techniques employed. Although FT is a promising method to assess cc, further studies including the evaluation of standard values--and investigations with different diseases are necessary.

Research on Key Technologies of Windows CE API Interception

Windows CE API interception technology can be used for monitoring various system services calls such as file systems, registry. API interception has a very important role on the Windows CE system software debugging and performance analysis. This paper introduces the main methods of the Windows CE API interception, discusses a number of key technologies involved, how to use these methods flexible, and gives a practical example.

Software Performance Analysis with Parallel Programming Approaches

The term software performance engineering (SPE) is a systematic and quantitative approach for constructing software systems to meet the performance objectives such as response time, throughput, scalability and resource utilization. Optimization is major concern in achieving performance parameters. Optimization is performed during run-time, or in the design phase. This paper proposes the coding practices in Open Multi Processing (OpenMP) and Open Computing Language (OpenCL) that outperforms the conventional algorithms for searching, matrix multiplication and routing tasks in terms of response time.

Robotic Surgery Training with Commercially Available Simulation Systems in 2011: A Current Review and Practice Pattern Survey from the Society of Urologic Robotic Surgeons

Virtual reality (VR) simulation has the potential to standardize surgical training for robotic surgery. We sought to evaluate all commercially available VR robotic simulators. A MEDLINE(®) literature search was performed of all applicable keywords. Available VR simulators were evaluated with regard to face, content, and construct validation. Additionally, a survey was e-mailed to all members of the Endourological Society, querying the pervasiveness of VR simulators in robotic surgical training. Finally, each company was e-mailed to ask for a price quote for their respective system. There are four VR robotic surgical simulators currently available: RoSS™, dV-Trainer™, SEP Robot™, and da Vinci(®) Skills Simulator™. Each system is represented in the literature and all possess varying degrees of face, content, and construct validity. Although all systems have basic skill sets with performance analysis and metrics software, most do not contain procedural components. When evaluating the results of our survey, most respondents did not possess a VR simulator although almost all believed there to be great potential for these devices in robotic surgical training. With the exception of the SEP Robot, all VR simulators are similar in price. VR simulators have a definite role in the future of robotic surgical training. Although the simulators target technical components of training, their largest impact will be appreciated when incorporated into a comprehensive educational curriculum.

An Optimization Evaluation Method for Stability Oriented Software System

It's difficult for people to evaluate the stability of a software system among recent developments in the field of software maintenance. It has been proved that ripple effect has great impact on component's performance because of the complexity of software and the uncertainty of future change requirements. However, previous studies have ignored the combination of graph theory and probabilism to analyze component change impact, particularly component optimization evaluation. In this paper, we regard various change requirements as the combination of a series of basic change requirements. Some evaluation merits about change propagation are defined. Then we give a method to deal with the change propagation in the evolution for entities or components. Finally a practical case is described to validate in detail the optimization method to evaluate the ripple effect in software performance analysis. We summarize the paper and draw some essential conclusions from the experimental results.

The Analysis and Optimal Design for Thermal Environment of Gymnasium

The thermal environment of gymnasium is usually affected by many exterior environmental factors, including architecture layout, building orientation, natural lighting and ventilation. A gymnasium of one of the colleges in Xi’an city serves as an example. The building performance analysis and optimization software Ecotect are used in this paper to carry out the simulation analysis focused on the classical thermal environment of gymnasium under the consideration of the above mentioned thermal environment relevant factors.

Software Development Based on Object-Oriented Design for Parachute Design and Performance Analysis

In this paper, a powerful, user-friendly parachute design and performance analysis software (PDPA) is introduced. This software provides researchers a convenient and efficient parachute design tool. The functions such as parachute structure design, material selection, performance analysis, calculation verification, view display, document output, can be achieved. PDPA can be used for all types parachute design (flat circular parachute, ring-sail parachute, etc.) except parafoil, and combine the first stage parachute with main parachute to make up of a parachutes system. As a result, six types of performance plots, two structure figures, and three types of documents can be obtained. These remarkable features make the software more practical.

A Study on Boundary Modeling of Three-Dimensional Discrete Element Method Based on Pro/ENGINEER

This paper presents a new method that use the library function offered by Pro/TOOLKIT and on account of Visual C++ development platform to achieve the recognition of Pro/ENGINEER solid model of mechanical components and extraction of geometry information. Motion attribute is set according to requirements, and analytical mode of three-dimensional discrete element method is built, therefore, Pro/ENGINEER software and the performance analysis software of three-dimensional discrete element method developed autonomously are integrated. A kind of new method and new tool is offered to three-dimensional discrete element method performance analysis and optimization design, and three-dimensional discrete element method belongs to relevant mechanical components contacted and acted with granular materials. What’s more, the correctness and effectiveness of boundary modeling method of three-dimensional discrete element method and developed software are tested and verified through real examples.

Simulating Whole Supercomputer Applications

Detailed simulations of large scale message-passing interface parallel applications are extremely time consuming and resource intensive. A new methodology that combines signal processing and data mining techniques plus a multilevel simulation reduces the simulated data by various orders of magnitude. This reduction makes possible detailed software performance analysis and accurate performance predictions in a reasonable time.

Bodily Communication in Volleyball and New Data System

Problem statement: To verify the incidence of performance analysis data of bodily communication in volleyball and the difference of method gathering data between traditional method and new one. It recognizes the technical skills that are involved in bodily communication aspects. Thus, it analyzes and quantifies three specific technical skills relating the attacker role and the setter one in relationship to defenders: (a) the second ball goes to the opposite court instead of setting for attacking; (b) the attack as fast as possible in the middle of the net; (c) the off speed hit instead of power spike over the block. To establish the difference between the traditional match analysis system and the new one. The methods of this study are complex. The coach trains the performance analyst how to analyze the three technical skills and to whom to attribute exactly the outcomes applying the defined and shared performance indicators. Approach: The analyst directly, that is in real time, recruits the data by hand notation when he observes the match and indirectly, that is in differed time, he recruits the data by using the performance analysis software with slow down and go back mode of the same actions that in hand notation system has just attributed to the bodily communication. The same analyst, by traditional match analysis system, analyzes the data of the same matches by traditional system. It compares the results of the new way performance analysis system and the old way. The sample is 26 matches of volleyball championship of the same team. Results: The results are significant in a new way of gathering data. Innovation bodily communication data system shows the percentage of three technical skills is about 14,5% for (b) the attack as fast as possible in the middle of the net, 8,5% (a) the second ball goes to the opposite court instead of setting for attacking and 6,5% (c) the off speed hit instead of power spike over the block. The percentage for categories of outcomes is 30% bodily communication, 18% fundamental outcomes, 17% adversary errors and 16% other kind of outcomes and 9% unknown outcomes. Conclusion: In conclusion the result shows the difference of the data between two performance analysis system and the significance of bodily communication outcomes on the performance. The percentage of bodily communication data is more significant of the other kinds of percentage of data. These data could help the coach to train the team for improving the analyzed technical skills in different mode utilizing this study and so, to create a methodological system training to enhance the performance for every skill.

Lightweight embedded software performance analysis method by kernel hack and its industrial field study

Despite advances in software testing technologies, there are still limitations in directly applying them to embedded software. Since the operational environment of embedded software has severe resource constraints, it is necessary to develop a lightweight testing method that has little impact on the operational environment of embedded software. We propose an agent-based performance analysis method to hack kernel performance counters that manage the system's execution information. The proposed method enables us to collect data required for analyzing performance bottlenecks and identify the causes and locations of bottlenecks with little impact on the test target system's operational environment. We introduce a test automation tool called Analytic Master of System v2.0 that we developed by employing our proposed method. Presently, Analytic Master of System v2.0 is being utilized as a standard tool for performance testing of embedded systems in the automotive industry. In addition, we suggest a guideline for performance analysis and improvement by introducing an industrial field study among our best practices, which analyze the relationship between the memory fault processing of the operating system and the application processing speed.

Comparative study of the performances during match play of an elite-level spin bowler and an elite-level pace bowler in cricket

A study of one right-hand pace bowler and one left-arm wrist spin bowler, during the 2006–2007 Ashes series between England and Australia, has been undertaken to understand better the existing knowledge regarding cricket bowling performance during match play. Data from Hawk-Eye and Feedback Cricket performance analysis software programs have been used to analyse 624 pace deliveries and 949 spin deliveries, bowled to five opposition batters. Pace deliveries have been classified on the basis of the pitching length, and spin deliveries have been categorized into one of four delivery types (the leg break, flipper, slider, or googly). One-way analyses of variance were carried out on all deliveries to determine the differences of statistical significance in bowling. For spin bowling, the speed of the ball at release, vertical release angle, and deviation angle after pitching varied for different delivery types. For pace bowling, the pitching line of the ball became closer to the centre stump as the delivery length became fuller and the ball release angle became flatter towards the horizontal. The outcome of this investigation has been to determine the expected ranges of delivery combinations for both an elite spin bowler and an elite pace bowler during match play.