CheckPoint: The Risk of Macros Name January 20‚ 2012 Even though Macros do it yourself software is ranked as one of Microsoft’s most useful tools to use. Based on the article by Lenning (2005) the primary security risk for users to know using macros is that many of these sites could have many different types of viruses. It is recommended that one should use caution when opening a new document. You should only open and used a trusted because some files can be corrupted and then they will spread
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Table of Contents KANBAN IN SOFTWARE 6 ABSTRACT 6 Chapter 1: INTRODUCTION 6 1.1 Lean Thinking 8 1.2 Applying in Software Development 9 1.3 Kanban for Software 9 1.4 Scope of the study 11 Chapter 2: LITERATURE REVIEW 11 2.1 Lean Manufacturing vs. Lean Development 11 2.2 Applying Lean in Software Development 12 2.3 Kanban 13 2.4 Waterfall methodology 16 Chapter 3: Methodology 19 Chapter 4: ANALYSIS 21 Chapter 5:- Findings 24 Chapter 6:- Conclusions
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Software Development Lifecycle (SDLC) Software (System) Development Life cycle Model Software life cycle models describe phases of the software cycle and the order in which those phases are executed. Each phase produces deliverables required by the next phase in the life cycle. Requirements are translated into design. Code is produced according to the design which is called development phase. After coding and development the testing verifies the deliverable of the implementation
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Throughout term two our class has been participating in the unit of tennis. We have researched the key components of fitness for a tennis player and have conducted a number of fitness tests to base ourselves upon. By evaluating myself on these tests‚ I have chosen to compete against Contender A of the 4 contenders. My decision in doing this not only lies upon where my strengths are where stronger then his weaknesses‚ but where i am weak he is not strong. A typical tennis player‚ apart from skill
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EFF. DATE: TITLE: SOP FOR SOFTWARE DEVELOPMENT 1.0 OBJECTIVE REVIEW DATE: To describe the procedure for delivering technical solution through development of new software. 2.0 SCOPE This procedure is applicable to development of all new software application in the IT and MIS department. 3.0 RESPONSIBILITY 3.1 3.2 3.3 Programmers to develop software applications as per laid down procedure. Team Leader shall be responsible to carry out the activity as per procedure. Software Manager shall be responsible
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Static or Dynamic CheckPoint May 6‚ 2011 Static or Dynamic * As a network administrator for a company‚ you want to configure an IP route between two routers. Of static and dynamic routing‚ which is more appropriate? A router is a device that connects two LANs or WANs together. It has the ability to determine the best known route to send packets to a destination. The factors used to determine the best known route include not only the fastest route‚ but the most efficient. By using
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Discrete Mathematics PC Hardware and Trouble Shooting Software Engineering Formal Languages and Automata Theory Java Programming Computer Networks Practical Software Engineering Lab Java Programming Lab Computer Networks Lab Semester – VI Code. No Theory Course Title Theory of Computation Open Source Software Object Oriented System Design Numerical Methods Computer Graphics Elective – I Practical Open Source Lab Object Oriented Systems Lab Computer Graphics Lab 0 0 0 0 0 0 3 3 3 2 2 2 L 3 3 3 3 3 3 T 1
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Database Software The acquisition of database software for business information management is a source of business leverage in the ever competitive business environment. The management of business information is made possible by the acquisition of efficient database software. Database software is the term that refers to the computer program that helps to enter‚ update‚ organize‚ retrieve‚ and report information held in a computer database. Among the commonly used database software for personal
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Software Metric Software metric is a measure of some property of a piece of software or its specifications. Since quantitative measurements are essential in all sciences‚ there is a continuous effort by computer science practitioners and theoreticians to bring similar approaches to software development. The goal is obtaining objective‚ reproducible and quantifiable measurements‚ which may have numerous valuable applications in schedule and budget planning‚ cost estimation‚ quality assurance testing
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probabilistic approach to finding failure-causing inputs based on Bayesian estimation. According to our probabilistic insights of software testing‚ the test case generation algorithms are developed by Markov chain Mote Carlo (MCMC) methods. Dissimilar to existing random testing schemes such as adaptive random testing‚ our approach can also utilize the prior knowledge on software testing. In experiments‚ we compare effectiveness of our MCMC-based random testing with both ordinary random testing and adaptive
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