             LJUBOMIR LAZIĆ Technical Faculty, State University of Novi Pazar Vuka Karadžića bb, 36 300 Novi Pazar, SERBIA llazic@np.ac. rs, http://www.np.ac. rs STEVAN A. MILINKOVIĆ, SINIŠA S. ILIĆ 2Union University, School of Computing, Belgrade, Serbia smilinkovic@raf.edu.rs , http://www.raf.edu.rs , sinisa.ilic@pr.ac.rs , http://www.ftn.pr.ac.rs   A Software companies are often challenged with providing QA and testing of their software in an effective and efficient manner. In this paper we will present our OptimalSQM Framework solution based on our Business Intelligent Simulation Architecture (BISA) design with integrated Software expert tools (Profit eXpert, Planer eXpert, Risk Management eXpert, Quality eXpert, Maintenance eXpert, People Performance eXpert and Process Dynamics Control eXpert) to find optimal development activity combination at the beginning for every SDLC model. The BISA realization with complete integrated expert tools offer to SMEs the OptimalSQM solution which is a faster, better and cheaper solution which enables software designers to achieve a higher quality for their design, a better insight into quality predictions for their design choices, test plans improvement using Simulated Defect Removal Cost Savings model as we described in this paper. OptimalSQM solution aim is to assist with advanced software testing technology adoption in organizations, especially focusing on small@ to medium@sized enterprises (SMEs) i.e. OptimalSQM solution is a Software Testing Center of Excellence for SMEs.   Software testing; SaaS, Testing optimization, Cost of testing Simulation, Test management   The importance of software testing has been emphasized more and more, as the quality of software affects its benefit to companies significantly [1@4]. Our research [5,6, 10@16] 1 concluded that existing approaches for assessing and improving the degree of early and cost@effective software fault detection are not satisfactory since they can cause counter@productive behavior. An approach that more adequately considers the cost@ efficiency aspects of software fault detection is required. Software reviews, inspections and testing, as SQA (Software Quality Assurance) activities, are key assumptions for successfully development and implementation of ICSs. Software industry spends more than a half of its budget for activities during software development process and for its 1 This work was supported in part by the Ministry of Science and Technological Development of the Republic of Serbia under Grant No. TR@35026 entitled as:“Software Development Environment for optimal software quality design“.. maintenance after installment. Development of quality software is very complicated and unreliable task, but the management of software development and testing process (SDP@STP) is much harder without appropriate software environment consisting of integrated techniques, procedures and tools for: a) precise planning (resources, costs, duration, training, etc.), b) software project risk identification, estimation and control, c) software quality metrics and measurement establishment, d) process testing quantitative management, i.e. management of activities needed for software quality assurance in order to increase efficiency of software bugs detection and removal. In this paper we will present our OptimalSQM (Optimal S oftware Quality M anagement) Framework solution based on our Business Intelligent Simulation Architecture (BISA) design with integrated Software expert tools (Profit eXpert, Planer eXpert, Risk Management eXpert, Quality eXpert, Maintenance eXpert, People Performance eXpert and Process Dynamics Control eXpert) to find optimal development activity combination at the beginning for every SDLC model. The BISA architecture is coherent, balanced and improved version of OptimalSQM (partially defined in our Advances in Computer Science ISBN: 978-1-61804-126-5 197