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Table 4: Tough Spot Distributions of Each Team.
"... In PAGE 23: ...Table 4: Tough Spot Distributions of Each Team. Table4 summarizes the top two tough spots for each team. Whenever there is a tie for the top two all the ties are listed.... In PAGE 23: ... It should be clear that tough-spot diversity also exists among the programming teams. If we summarize the top two tough spots for each team and for all six teams together before the operation test, the same results as in Table4 are obtained (except for the Modula team) and the top two tough spots for all six teams occur in the Main, GSCF, and Inner Loop system functions. It is interesting to note that the identical fault committed by two teams (T and Prolog) and the faults found in the C team by ight simulations during the operation test all resided in Inner Loop, which is the most common tough spot for this particular project.... ..."
Table 4: Tough Spot Distributions of Each Team.
"... In PAGE 23: ...Table 4: Tough Spot Distributions of Each Team. Table4 summarizes the top two tough spots for each team. Whenever there is a tie for the top two all the ties are listed.... In PAGE 23: ... It should be clear that tough-spot diversity also exists among the programming teams. If we summarize the top two tough spots for each team and for all six teams together before the operation test, the same results as in Table4 are obtained (except for the Modula team) and the top two tough spots for all six teams occur in the Main, GSCF, and Inner Loop system functions. It is interesting to note that the identical fault committed by two teams (T and Prolog) and the faults found in the C team by ight simulations during the operation test all resided in Inner Loop, which is the most common tough spot for this particular project.... ..."
Table 3: Distribution of SWL and Bridge Learners on Teams
2005
"... In PAGE 31: ...atterns. On teams, bridge learners seem to provide dependability and consistency. When possible, bridge learners were placed on teams with SWL in order to provide steadiness to a team. See Table3 for a Distribution of SWL and Bridge Learners on Teams. Table 3: Distribution of SWL and Bridge Learners on Teams ... In PAGE 70: ...onstructs and the six demographics variables (i.e., gender, employee age, marital status, education level, number of children, and length of time with employer) and few significant relationships were discovered. In fact, none of the demographics studied appeared to have any predictive power with regard to family-to-work conflict, mental health, or physical health (see Table3 ). It does appear, however, that employee age and the length of time an employee worked for a company are weakly (although significantly) related to work-to-family conflict (R2 = .... ..."
Table 1. Model Parameters for Observed Electron Distribution
"... In PAGE 5: ... Generation of EMIC Waves By the Observed Electron Distribution [18] To begin our investigation, we fit the distribution function of Figure 2 using a nonlinear least-squares fitting routine. In Figure 4 we show the model fit consisting of a background and a drifting Maxwellian with fitting parameters shown in Table1 . The parameters shown in Table 1 are those obtained from the best fit, except that we have increased the beam drift velocity from 8.... In PAGE 5: ... This would justify increasing the beam velocity by at least a factor of two for growth at lower altitudes and f gt; 50 kHz (the local cyclotron frequency during the Polar observations). [19] The parameters of Table1 were used in the analysis of wave growth using the modified WHAMP code. We have investigated the growth of EMIC waves for a number of frequencies.... ..."
Table 1. Functional changes collected from electronic story cards from all teams in the Software Hut 2004.
2006
Cited by 2
Table 1. Countries of team members
"... In PAGE 11: ... Some teams were distributed across countries or even con- tinents. Table1 lists how many teams had members in each country. There were 137 teams with members in North Amer- ica, 1 in South America, 55 in Asia, 188 in Europe including Russia (with 136 in the European Union), 16 in Oceania and 2 in Africa.... ..."
Table 3. Player vs. Team
"... In PAGE 5: ... This again constitutes a collapsed version of the 3-player 2x2x2 game, with the enemy (CT) team collapsed using its empirically determined action distribution. Analogous results for a CT player with his team CT are also shown ( Table3 ). Again, the mean number of kills is shown as the only payoff component.... ..."
Table 3: Player vs. Team
"... In PAGE 5: ... This again constitutes a collapsed version of the 3-player 2x2x2 game, with the enemy (CT) team collapsed using its empirically determined action distribution. Analogous results for a CT player with his team CT are also shown ( Table3 ). Again, the mean number of kills is shown as the only payoff component.... ..."
Table 2. Characteristics of teams in the study
"... In PAGE 4: ... Results 5.1 Preliminary analyses Table2 shows descriptive data about the teams, and how the data were distributed across GPA, age, computer experience, and diversity. Of the 14 teams, 6 were high-performing and 8 were low-performing.... In PAGE 6: ...* p lt;.01 * p lt;.05 + p lt;.10 There were, however, notable differences between high- and low-performing teams. High-performing teams, on the average, generated more total initiations throughout the life of the project than did the low- performing teams (see Table2 ). These differences were particularly salient at the beginning and end of the project, indicating more early initiations to find partners and quickly form teams and more effort in the final completion of the project for high-performing teams.... ..."
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