A simulation-driven performance testing method for Web applications

2003-2004 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

A New Scheduling Strategy for Risk Mitigation

Risk mitigation is essential for risk management because it aims to reduce or eliminate risks. A good risk mitigation strategy aims to make the best use of resources and reduces the project risk as much as possible. A meaningful strategy should at least have a higher performance than a "Random strategy". In this paper, we (1) propose a new scheduling strategy, "Greedy strategy", for risk mitigation, (2) compare the performance of Greedy strategy with existing scheduling strategies, and (3) compare the performance of all identified scheduling strategies (Greedy strategy and existing strategies) with the Random strategy. The results show that the proposed strategy has a better performance than existing strategies, and all existing strategies and Greedy strategy have a better performance than "Random strategy".Department of ComputingRefereed conference pape

A Path for the Implementation of Best Practices for Software Requirements Management Process Using a Multimodel Environment

Continuous improvement is one of the topics of interest for organizations seeking positioning opportunities in the world market. However, software development organizations have high levels of difficulty to implement best practices that address continuous improvement. This paper presents a path to follow to facilitate the work of continuous improvement in a software development organization and that seeks to implement best practices in the software requirements management process. The path is drawn from an analysis of software process improvement models and standards related to software development best practices, under a multimodel environment. The path is structured with a set of techniques, tools, activities, and outputs associated with identified best practices, to facilitate the implementation of improvements in the software requirements management process. Besides, the established path is proposed as an alternative to facilitate the process improvement using a multimodel environment, this way allows establishing balance and instances of collaboration among best practices independent of the model or standard to be implemented. © 2020, Springer Nature Switzerland AG

Pythia: A regression test selection tool based on textual differencing

Regression testing is a commonly used activity whose purpose is to determine whether the modifications made to a software system have introduced new faults. For many large, complex, software systems the retest all strategy is not practical: the resources required to reexecute and verify all available test cases (i.e., time and human effort) are prohibitive. Ad hoc methods are not desirable, as they can compromise the reliability of the regression test activity and consequently the reliability of the software system being tested. In this paper we present a new technique for selecting regression test cases based on the modifications that have been made on the program. The technique, which is based on the idea of directly comparing source files from the old and the new version of the program, has been implemented in a tool called Pythia. A novel characteristic of Pythia, which is capable of analyzing large software systems written in C, is that it has been implemented primarily through th..

Body mass index and complications following major gastrointestinal surgery: a prospective, international cohort study and meta-analysis.

AIM: Previous studies reported conflicting evidence on the effects of obesity on outcomes after gastrointestinal surgery. The aims of this study were to explore the relationship of obesity with major postoperative complications in an international cohort and to present a meta-analysis of all available prospective data. METHODS: This prospective, multicentre study included adults undergoing both elective and emergency gastrointestinal resection, reversal of stoma or formation of stoma. The primary end-point was 30-day major complications (Clavien-Dindo Grades III-V). A systematic search was undertaken for studies assessing the relationship between obesity and major complications after gastrointestinal surgery. Individual patient meta-analysis was used to analyse pooled results. RESULTS: This study included 2519 patients across 127 centres, of whom 560 (22.2%) were obese. Unadjusted major complication rates were lower in obese vs normal weight patients (13.0% vs 16.2%, respectively), but this did not reach statistical significance (P = 0.863) on multivariate analysis for patients having surgery for either malignant or benign conditions. Individual patient meta-analysis demonstrated that obese patients undergoing surgery for malignancy were at increased risk of major complications (OR 2.10, 95% CI 1.49-2.96, P < 0.001), whereas obese patients undergoing surgery for benign indications were at decreased risk (OR 0.59, 95% CI 0.46-0.75, P < 0.001) compared to normal weight patients. CONCLUSIONS: In our international data, obesity was not found to be associated with major complications following gastrointestinal surgery. Meta-analysis of available prospective data made a novel finding of obesity being associated with different outcomes depending on whether patients were undergoing surgery for benign or malignant disease

Body mass index and complications following major gastrointestinal surgery: A prospective, international cohort study and meta-analysis

Aim Previous studies reported conflicting evidence on the effects of obesity on outcomes after gastrointestinal surgery. The aims of this study were to explore the relationship of obesity with major postoperative complications in an international cohort and to present a metaanalysis of all available prospective data. Methods This prospective, multicentre study included adults undergoing both elective and emergency gastrointestinal resection, reversal of stoma or formation of stoma. The primary end-point was 30-day major complications (Clavien\u2013Dindo Grades III\u2013V). A systematic search was undertaken for studies assessing the relationship between obesity and major complications after gastrointestinal surgery. Individual patient meta-analysis was used to analyse pooled results. Results This study included 2519 patients across 127 centres, of whom 560 (22.2%) were obese. Unadjusted major complication rates were lower in obese vs normal weight patients (13.0% vs 16.2%, respectively), but this did not reach statistical significance (P = 0.863) on multivariate analysis for patients having surgery for either malignant or benign conditions. Individual patient meta-analysis demonstrated that obese patients undergoing surgery formalignancy were at increased risk of major complications (OR 2.10, 95% CI 1.49\u20132.96, P &lt; 0.001), whereas obese patients undergoing surgery for benign indications were at decreased risk (OR 0.59, 95% CI 0.46\u20130.75, P &lt; 0.001) compared to normal weight patients. Conclusions In our international data, obesity was not found to be associated with major complications following gastrointestinal surgery. Meta-analysis of available prospective data made a novel finding of obesity being associated with different outcomes depending on whether patients were undergoing surgery for benign or malignant disease