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Software testing effort estimation techniques
Čecháková, Lucie ; Doležel, Michal (advisor) ; Buchalcevová, Alena (referee)
This study is primary focused on software project effort estimation, especially for testing phase effort. The main objective is to verify the applicability of the method of function points for testing phase effort estimation. In my work I verify, if number of test cases, derived by experts from project function points score, relates to reality. Specific objectives include the identification of potential weaknesses in function point analysis, verification procedure for converting the number of lines of code to function points and determining the number of remaining defects generated by COQUALMO method. Theoretical part summarizes the generally applicable rules and describes in detail the four effort estimation techniques which can be used to estimate effort for application testing. After that, some of the cognitive biases of human thought processes influencing the estimates results are described. The practical part consists of an analysis of real project, focusing on estimation of amount of the test cases using function points analysis.
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SW Support and maintenance: Extension of onthology about COE concept, simplification of effort estimation
Marounek, Petr ; Toman, Prokop (advisor) ; Stecker, Ladislav (referee) ; Dvořák, Jiří (referee) ; Slabý, Antonín (referee)
Effective implementation (in terms of time, cost, utilization of human resources, etc.) of information systems operation is a strategic issue in today's time when business processes are integrally aligned with the informatics. Currently, costs associated with software support and maintenance represent more than 90% of total costs. Software maintenance is a set of activities needed for cost-effective support of IT solution. IS / IT Center of excellence (COE) do not cover the area of software support and maintenance, there is no formalized methodology or procedural framework for COE for support and maintenance -- in reality, it means missing processes and procedures for creating it, management and evaluation of it. Moreover, there are missing recommendation about organization structure, services to be provided and overall continuous improvement. Therefore author proposes his own solution by definition and implementation of center of excellence for support and maintenance and its sub-centers of excellence for support and maintenance of particular applications. Current ontology of support and maintenance does not capture the necessary components and links -- namely missing management, planning and effort estimation views. Therefore author proposes his redefinition and enrichment of ontology of organizational structure about elements of competence and sub-competence center, typology of tasks (management, maintenance), and their management - estimating, planning and realization. In his work, Magne Jorgensen formulated conclusions that 83 to 84% of all estimation is done by pure expert estimates and estimating models are not used basically due to their complexity. Based on extending PERT formula about quality of estimator and historical experience, author introduced his simplified, easy to use approach to effort estimation in software maintenance. Both introduced formulas were verified in sub-competence center for supporting mortgage IS with significantly better result than only pure PERT estimate (98.8% and 91.8% against pure PERT 90.1%). In conclusion, author discusses the benefits of the implementation of center of excellence for support and maintenance and sub-centers of excellence for support and maintenance of particular applications, and overall fulfilling of thesis scope.
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