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Table 1. Use of Requirement-Based Re-Engineering Products

in A Requirement-Based Approach to Data Modeling and Re-engineering
by Alice H. Muntz, Christian T. Ramiller

Table 6. Student Survey Results Before and After Introduction of the Software Evolution into Course Projects

in Teaching Evolution of Open-Source Projects in Software Engineering Courses
by Joseph Buchta, Maksym Petrenko, Denys Poshyvanyk, Václav Rajlich
"... In PAGE 7: ... Question two asks the students to rate their learning in the course with five being a Great Deal and one being Nothing at All . Table6 shows the large increase in student satisfaction and student learning in the course. These results were also reiterated by the students during the course project survey.... ..."

Table-1 Re-engineering task Re-engineering issues

in Re-engineering Issues and Opportunities in XP key adaptive practices
by K. Gowthaman, K. Mustafa, R. A. Khan

Table 2. Software engineering projects jointly sponsored by the ACM and the IEEE CS through the Software Engineering Coordinating Committee.

in unknown title
by unknown authors 2001

Table 1. Selection of InVision Software Reengineering Projects

in unknown title
by unknown authors 1997
"... In PAGE 14: ... These have included projects for migrating software between platforms, translating systems from one language to another, converting code to support different databases or user interfaces, and creating a variety of cus- tom system analyses. Table1 lists a selection of these projects. Figure 5 illus- trates the overall process of a reengineering application.... ..."
Cited by 5

Table 1 summarizes the results of the COTS analysis tool study discussed in this section. Each entry labeled as Pass indicates that the test results agreed with the known analytical solutions, and that little or no special measures were needed to make the software in question work properly. Entries labeled as Fail indicate that the software was incapable of reproducing the known analytical solutions or that it was impractical to model the problem correctly within the tool for that particular test case. Entries labeled Marginal indicate that the software only worked on some levels for a particular test case. As a result of this study, the Vortex software package was identified as the best choice for analysis of the Tumbleweed rover dynamics problem. A developmental analysis tool was developed around the Vortex software package and is discussed further in section IV of this paper. It should be noted that since the development of the Vortex application, several prior issues with the ADAMS software have since been resolved. For various reasons

in Preliminary Dynamic Feasibility and Analysis of a Spherical
by John J. Flick, Matthew D. Toniolo
"... In PAGE 7: ...software package could possibly be developed in the future activities. Table1 . Summary of COTS Analysis Tool Study Results Translation Rotation Friction Gravity Wind Collisions Terrain Slide-to-Roll Maya Pass Fail Pass Pass Fail Marginal Pass N/A ADAMS Pass Pass Pass Pass Pass Fail Marginal Pass Vortex Pass Pass Marginal Pass Pass Pass Pass Pass C.... ..."
Cited by 1

Table 5. Issues in portability of Decision Support software tools

in SPECIAL SESSION ON Decision Support Tools
by Special Session Number, Groundwater (phase Iii, Of Contaminated L
"... In PAGE 28: ... Another important reason that DST are not always transferable between countries is that unless the tool has received extensive documentation, application, verification testing and peer review in the country its use is proposed in, the quality of the tool for use there may be difficult to judge. Table5 presents the key transferability issues, providing examples in terms of analysis of soil or groundwater contamination. However, the major issues still apply to other types of analysis (e.... ..."

Table 1 Introduction Dates for Energy Derivative Contracts

in The Impact Of Energy Derivatives On The Crude Oil Market
by Jeff Fleming, Barbara Ostdiek
"... In PAGE 7: ...ng on the crude oil market. Section VI provides a summary and conclusions. II. Data and Preliminary Analysis Table1 lists the primary energy futures and futures option contracts , along with their respective introduction dates. Each of these contracts is traded at either the New York Mercantile Ex- change (NYMEX) or the International Petroleum Exchange (IPE).... In PAGE 19: ...following the first derivative introduction and they should decay with subsequent introduc- tions as the market gradually becomes more complete. To investigate these issues, we apply our methodology to each of the subsequent i n tro- duction dates reported in Table1 . The only difference is that each of these introductions occurs after the start of our daily crude oil price series, so we use the daily prices ( rather than weekly) in this analysis.... ..."

Table 3. Tableau of the GP evolutions.

in Genetic Programming, Validation Sets, and Parsimony Pressure No Author Given
by unknown authors
"... In PAGE 6: ... Strictly speaking, this is not a Pareto domination-based multi-objective selection algorithm. Table3 presents the GP parameters used during the experiments. No special tweaking of these parameter values was done, which correspond in most cases to the default values of the software tool used.... ..."

Table 1: Articles in This Special Issue

in Introduction: Augmented Reality—Usability and Collaborative Aspects
by Morten Fjeld
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