Integral part of all systematically managed software development or maintenance projects is emphasis on continuous quality of all project activities. Because final quality of project deliverables (new or enhanced applications, preconfigured solutions as ie. SAP) is a very big influencer of project success and therefore also important influencer of long-term relationship between customer and contractor(s), this document focuses on ways how to proactively prevent from mistakes (within the whole software development lifecycle) and on techniques helping to establish better quality control of important deliverables through systematic approach, high quality tools and suitable metrics in software testing discipline. This document gradually exposes typical project areas where it is necessary to keep control on quality of project members' outputs, perceives testing in context of typical project consequences, offers practical recommendations in testing methodology, tools as well as widely tested technologies, and explains trends and risks in testing domain. The goal of this document is not only to document a wide range of possibilities given by frequently used testing techniques or tools but also to offer a practical guidance in deployment of test discipline. This document was written by comparing author's professional experience in software quality management with knowledge gathered by reading information sources attached to this document. This document consists of concrete conclusions of this comparison.

This thesis presents an in-depth exploration of regression testing metrics and their relationship with software quality, based on a qualitative case study within a global technology organization. By applying a thematic analysis to empirical data collected through interviews and a survey with the organisations Quality and Assurance team, this study identifies three primary themes: foundation of credibility, organic test maintenance, and defect management. The research highlights key metrics underlying each theme, including requirement coverage, code coverage, historical pass-rate, test flakiness, and code complexity. These metrics, especially when implemented in the early stages of a project, emerged as indicative of the overall software quality and stability. Through this research, a deeper understanding of regression testing metrics and their critical role in increasing the software quality is achieved. However, it is apparent that further research is necessary, including broader case studies, investigation into the application of machine learning algorithms, and exploration of additional metrics, to fully understand their universal applicability. The insights in the findings from this thesis are aimed at contributing to the field of software quality assurance academically and also provide actionable insights to industry professionals in the field of software quality. / Denna avhandling presenterar en djupgående utforskning av regressionstestnings metriker och deras relation till programvarukvalitet, baserat på en kvalitativ fallstudie hos en global organisation aktiv inom teknologi. Genom att tillämpa en tematisk analys på empirisk data insamlad genom intervjuer och en enkätundersökning, identifierar denna studie tre huvudteman: testtillförlitlighet, testunderhåll och testprestanda. Forskningen lyfter fram nyckelmetriker som ligger till grund för varje tema. Dessa inkluderar ”Requirement coverage”, ”Code coverage, ”Historic pass-rate” , ”Test flakiness” och ”Code complexity”. Dessa metriker, särskilt när de implementeras i de tidiga stadierna av ett projekt, framträdde som indikativa för den övergripande programvarukvaliteten och programvarustabiliteten. Genom denna forskning uppnås en djupare förståelse för regressionstestningens metriker och deras kritiska roll i en ökad programvarukvalitet. Det är dock uppenbart att ytterligare forskning behövs, inklusive bredare fallstudier, undersökning av tillämpningen av maskininlärningsalgoritmer och utforskning av ytterligare metriker, för att fullt ut förstå deras universella användningsområden. Insikterna i resultaten från denna avhandling syftar till att bidra till fältet för regressionstestning akademiskt och även ge praktiska insikter till yrkesverksamma inom programvarukvalitet.

This thesis if focused on performance, especially load testing of information systems. In the first part is defined software quality and reader is provided by fundamentals of software testing. Process of sofware testing is well described here. The rest of the paper is oriented on perfomance testing and it's processes and attributes. Specified are goals and principles of performance testing as well as types of performance tests and their purpose. Defined is load testing methodology including metrics for reliability and efficiency of information systems. Metrics are derived from well known international ISO standard 9126 - Software quality model. Methodology and metrics are validated during load test project on which author of this work participated. One chapter is also devoted to the tools used for load testing automatization. This paper is focused on the testing experts as well as on the other readers who want to acquire information on load testing, software efficiency or generally on testing of software quality.