Did you mean: TIME MANAGEMENT, PRODUCTION MANAGEMENT, JUST IN TIME SYSTEMS, BENCHMARKING (MANAGEMENT), MATERIALS MANAGEMENT, COMPETITION INTERNATIONAL Time management. TIME MANAGEMENT-HANDBOOK-MANUALS Time management Time management TIME MANAGEMENT SELF MANAGEMENT-PSYSCHOLOGY SELF ACTUALIZATION-PSYCHOLOGY INDUSTRIAL ENGINEERING HANDBOOK. PRODUCTIVITY, PERFORMANCE AND ETHICS.ENGINEERING ECONOMICS.WORK ANALYSIS AND DESIGN.WORK MEASUREMENT AND TIME STANDARDS.ERGONOMICS AND SAFETY.COMPENSATION MANAGEMENT AND LABOR RELATIONS.LOGISTICS AND DISTRIBUTION.INFORMATION AND COMMUNICATION MANAGEMENT.PRODUCT DESIGN AND QUALITY MANAGEMENT.MANUFACTURING TECHNOLOGIES.MAINTENANCE MANAGEMENT 1.Conduct of life.2. Time management Time management Handbooks, manuals, etc. College students Time management. FIRST THINGS FIRST.CONDUCT OF LIFE TIME MANAGEMENT Time management Handbooks, manuals, etc Time management Computer programs MS-CSE-15 MSTHESIS ABSTRACT. Database management Systems (DBMS) are one the most critical component of a software application. Searching data from DBMS is an enormous part in software performance. Text search engines are also used for searching, but these engines lack sophisticated DBMS features. Relational database management systems (RDBMS) are not quite compatible with modern objectoriented languages. To overcome the complexity of data and object-oriented programming, modern development practices adopted Object Relation Mapping frameworks (ORM). ORM bears a layer of abstraction between object models and database. This layer automatically bridges objects in OOP languages to database records, which results in significantly reducing custom mapping code complexity. ORM has its advantages but on the other side it comes with be some challenges too. In process of mapping objects and data, ORM keeps the relations between objects intact and that results in retrieval of multiple objects from multiple tables. When the data is big and have a hieratical structure, data retrieval or search becomes more complex. Database performance for the retrieval of data are optimized by adding indexing to each table. Indexing makes search significantly fast but also makes other processes slow because tables are required to be re-index every time a record is changed. Hence an optimized solution is required to resolve this problem in ORM search process. To overcome this problem, this research proposes a java-based framework that can interact between ORM and search engine. It consumes search engine web APIs to provide a layer that can convert and search objects to/from XML. It makes search process faster and support ORM with its object-oriented methodology. Moreover, this framework not only reduces performance load on databases but also makes search queries simpler when implemented in development process. The results have been validated by two case studies, which were carried out by implementing each approach. 1000 similar search queries were processed on each framework and results shows 30 to 40 % improvement in query time. Keywords: DBMS Search, Indexing, Text Search Engines, Solr inedexes, Object oriented programming (OOP), Object Relation Mapping (ORM), Search optimization, Information Retrieval, database indexing