Fifty Shades of Grey in SOA Testing

Abstract-Testing is undisputedly a fundamental verification principle in the software landscape. Today's products require us to effectively handle and test huge, complex systems and in this context to tackle challenging traits like heterogeneity, distribution and controllability to name just a few. The advent of ServiceOriented Architectures with their inherent technological features like dynamics and heterogeneity exacerbated faced challenges, requiring us to evolve our technology. The traditional view of white or black box testing, for example, does not accommodate the multitude of shades of grey one should be able to exploit effectively for system-wide tests. Today, while there are a multitude of approaches for testing single services, there is still few work on methodological system tests for SOAs. In this paper we propose a corresponding workflow for tackling SOA testing and diagnosis, discuss SOA test case generation in more detail, and report preliminary research in that direction

A living WHO guideline on drugs for covid-19

CITATION: Agarwal, A. et al. 2022. A living WHO guideline on drugs for covid-19. British Medical Journal, 370. doi:10.1136/bmj.m3379The original publication is available at https://jcp.bmj.com/This living guideline by Arnav Agarwal and colleagues (BMJ 2020;370:m3379, doi:10.1136/bmj.m3379) was last updated on 22 April 2022, but the infographic contained two dosing errors: the dose of ritonavir with renal failure should have read 100 mg, not 50 mg; and the suggested regimen for remdesivir should have been 3 days, not 5-10 days. The infographic has now been corrected.Publishers versio

Introducing Computer Science Unplugged in Pakistan: A Machine Learning Approach

Introducing computational thinking at elementary school can develop students’ capabilities and interest in Computing skills. In this study, we introduced the Computer Science unplugged (CS-unplugged) technique in Pakistan. We use paper-based activities to equip students with basic Computer Science skills without introducing any programming language. This study contributes twofold: First, we report the impact of CS-Unplugged training on more than 350 elementary students. The empirical study reveals that the students perform better in solving problems after unplugged training. Improved results in the post-training activity support this impact. Second, we applied machine learning to predict students’ performance. We employed different supervised machine learning algorithms to predict the students’ performance. Our results indicate that the Logistic regression-based model can predict the positive response of the student with a 0.91 receiver operating characteristic curve (ROC curve). This pilot study results encourage introducing unplugged techniques at elementary schools in third-world countries. The goal is to have minimal changes in infrastructure and focus on better student learning. In the future, we plan to introduce more unplugged problem-solving techniques to elementary students by providing little training to the science or math teacher

BPEL Integration Testing

Abstract. Service-oriented architectures, and evolvements such as clouds, provide a promising infrastructure for future computing. They encapsulate an IP core's functionality for easy access via well-defined business and web interfaces, and in turn allow us to flexibly realize complex software drawing on available expertise. In this paper, we take a look at some challenges we have to face during the task of testing such systems for verification purposes. In particular, we delve into the task of test suite generation, and compare the performance of two corresponding algorithms. In addition, we report on experiments for a collection of BPEL processes taken from the literature, in order to identify performance trends with respect to fault coverage metrics. Our results suggest that a structural reasoning might outperform a completely random approach

Ecological and health risk assessment of heavy metals in the Hattar industrial estate, Pakistan

<p>This study aimed to determine the heavy metals (HMs) contaminations in soil of the Hattar industrial estate (HIE), Haripur, Khyber Pakhtunkhwa. For this purpose, various types of soils were collected in HIE and analyzed for the HMs concentrations. The HMs showed highest contamination levels in wastewater irrigated agriculture soil (WWIAS), followed by waste dump site soil (WDSS), and the lowest in range land soil (RLS). Determined HMs concentrations were used for pollution quantification factors, including contamination factors (CFs), pollution load index (PLI), ecological risk factor (ER), and potential health risk assessment, including chronic or non-cancer and cancer risk levels.</p