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1.
An experimental investigation of personality types impact on pair effectiveness in pair programming 总被引:1,自引:1,他引:0
Panagiotis Sfetsos Ioannis Stamelos Lefteris Angelis Ignatios Deligiannis 《Empirical Software Engineering》2009,14(2):187-226
In this paper, pair programming is empirically investigated from the perspective of developer personalities and temperaments
and how they affect pair effectiveness. A controlled experiment was conducted to investigate the impact of developer personalities
and temperaments on communication, pair performance and pair viability-collaboration. The experiment involved 70 undergraduate
students and the objective was to compare pairs of heterogeneous developer personalities and temperaments with pairs of homogeneous
personalities and temperaments, in terms of pair effectiveness. Pair effectiveness is expressed in terms of pair performance, measured by communication, velocity, design correctness and passed acceptance tests, and pair collaboration-viability measured by developers’ satisfaction, knowledge acquisition and participation. The results have shown that there is important
difference between the two groups, indicating better communication, pair performance and pair collaboration-viability for
the pairs with heterogeneous personalities and temperaments. In order to provide an objective assessment of the differences
between the two groups of pairs, a number of statistical tests and stepwise Discriminant Analysis were used.
Panagiotis Sfetsos is an Assistant Professor at the Department of Informatics at the Alexander Technological Educational Institute of Thessaloniki, Greece. He received his B.Sc. in Computer Science and Statistics from the University of Uppsala, Sweden (1981), and the Ph.D. degree in Computer Science from the Aristotle University of Thessaloniki (2007). His Ph.D. Thesis was on “Experimentation in Object Oriented Technology and Agile Methods”. His research interests include empirical software evaluation, measurement, testing, quality, agile methods and especially extreme programming. Ioannis G. Stamelos is an Associate Professor of Computer Science at the Aristotle University of Thessaloniki, Dept. of Informatics. He received a degree in Electrical Engineering from the Polytechnic School of Thessaloniki (1983) and the Ph. D. degree in Computer Science from the Aristotle University of Thessaloniki (1988). He teaches object-oriented programming, software engineering, software project management and enterprise information systems at the graduate and postgraduate level. His research interests include empirical software evaluation and management, software education and open source software engineering. He is author of 90 scientific papers and member of the IEEE Computer Society. Lefteris Angelis received his B.Sc. and Ph.D. degree in Mathematics from Aristotle University of Thessaloniki (A.U.Th.). He works currently as an Assistant Professor at the Department of Informatics of A.U.Th. His research interests involve statistical methods with applications in software engineering and information systems, computational methods in mathematics and statistics, planning of experiments and simulation techniques. Ignatios Deligiannis is an Associate Professor at Alexander Technological Education Institute of Thessaloniki, Greece. His main interests are Object-Oriented software methods, and in particular design assessment and measurement. He received his B.Sc. in Computer Science from Lund University, Sweden, in 1979, and then worked for several years in software development at Siemens Telecommunications industry. He was member of ESERG (Empirical Software Engineering Research Group at Bournemouth University, UK). Currently, he is a research partner of Software Engineering Group::Plase laboratory, Aristotle University of Thessaloniki, Greece. 相似文献
Ignatios DeligiannisEmail: |
Panagiotis Sfetsos is an Assistant Professor at the Department of Informatics at the Alexander Technological Educational Institute of Thessaloniki, Greece. He received his B.Sc. in Computer Science and Statistics from the University of Uppsala, Sweden (1981), and the Ph.D. degree in Computer Science from the Aristotle University of Thessaloniki (2007). His Ph.D. Thesis was on “Experimentation in Object Oriented Technology and Agile Methods”. His research interests include empirical software evaluation, measurement, testing, quality, agile methods and especially extreme programming. Ioannis G. Stamelos is an Associate Professor of Computer Science at the Aristotle University of Thessaloniki, Dept. of Informatics. He received a degree in Electrical Engineering from the Polytechnic School of Thessaloniki (1983) and the Ph. D. degree in Computer Science from the Aristotle University of Thessaloniki (1988). He teaches object-oriented programming, software engineering, software project management and enterprise information systems at the graduate and postgraduate level. His research interests include empirical software evaluation and management, software education and open source software engineering. He is author of 90 scientific papers and member of the IEEE Computer Society. Lefteris Angelis received his B.Sc. and Ph.D. degree in Mathematics from Aristotle University of Thessaloniki (A.U.Th.). He works currently as an Assistant Professor at the Department of Informatics of A.U.Th. His research interests involve statistical methods with applications in software engineering and information systems, computational methods in mathematics and statistics, planning of experiments and simulation techniques. Ignatios Deligiannis is an Associate Professor at Alexander Technological Education Institute of Thessaloniki, Greece. His main interests are Object-Oriented software methods, and in particular design assessment and measurement. He received his B.Sc. in Computer Science from Lund University, Sweden, in 1979, and then worked for several years in software development at Siemens Telecommunications industry. He was member of ESERG (Empirical Software Engineering Research Group at Bournemouth University, UK). Currently, he is a research partner of Software Engineering Group::Plase laboratory, Aristotle University of Thessaloniki, Greece. 相似文献
2.
A unified picture is obtained of the Cooper pair-breaking data by Cu-site Zn and Ni in Nd2–z
Ce
z
CuO4, La2–SrCuO4, Bi2Sr2CaCu2O8, Bi1.8Pb0.2Sr2Ca2Cu3O10, YBa2Cu3O7, and YBa2Cu4O8. The data are generally inconsistent with spin-fluctuation d-wave pairing mechanisms of superconductivity and with all two-dimensional cuprate-plane models. The data are consistent with superconductivity in the charge reservoirs. 相似文献
3.
A quantum-inspired evolutionary algorithm (QEA) is proposed as a stochastic algorithm to perform combinatorial optimization
problems. The QEA is evolutionary computation that uses quantum bits and superposition states in quantum computation. Although
the QEA is a coarse-grained parallel algorithm, it involves many parameters that must be adjusted manually. This paper proposes
a new method, named pair swap, which exchanges each best solution information between two individuals instead of migration
in the QEA. Experimental results show that our proposed method is a simpler algorithm and can find a high quality solution
in the 0-1 knapsack problem.
This work was presented in part at the 12th International Symposium on Artificial Life and Robotics, Oita, Japan, January
25–27, 2007 相似文献
4.
《Journal of the European Ceramic Society》2022,42(15):7063-7071
Metallic doping can stabilize cubic phase Li7La3Zr2O12 (LLZO) solid electrolyte for high conductivity, due to the enhanced vacancies and disordered Li-site. However, the understanding of metallic doping in the crystal lattice during the high-temperature sintering process is still not clear. In present study, a gradient series of Fe doped LLZO are formulated via solid-phase reaction, and then investigated through crystal analysis and morphological characterization. Pair distribution function essay implies that doped Fe3+ promotes random distribution of Li+ over the available sites in the located crystal. Additionally, the ceramic morphology confirms that the particles sizes in LLZO pellets suddenly grow above 1000 ℃, and Fe doping can obviously suppress Li loss above 600 ℃. As a result, the LLZF0.15 exhibits the relatively high ionic conductivity of 1.99 × 10–5 S cm–1 at 45 ℃. 相似文献
5.
按高压泵的磨损情况来评定油品质量是抗磨液压油研究的重要内容之一,本文通过建立的试验泵模拟试验方法,对抗磨液夺油试验用高压泵的磨损情况深入研究,此项研究不仅为我国抗磨液压油品质量的评定提供了重要的分析依据,同时也为高压泵摩擦材料的合理选择,磨损机理的分析研究奠定了基础。 相似文献
6.
作者对国产中小型柴油机缸套一活塞环摩擦副常用的典型材料,进行交替配对组成九种摩擦副,在一定的速度及滴油润滑条件下,以法向载荷及摩擦时间为参变量,考察它们的摩擦磨损性能。试验结果表明,合适的材料组配可以大大提高摩擦副的耐磨性能;摩擦系数随载荷而变化;在一定的载荷作用下,由于材料的塑性变形及石墨的润滑作用可使摩擦系数降低;摩擦系数与磨损量之间不能建立对应的函数关系;在合适的金相组织范围内较硬材质有较高耐磨性;活塞环材质硬度比缸套材质硬度较高时(本试验为40HB)摩擦副的磨损量最小;摩损系数也随载荷而变化。 相似文献
7.
针对目前煤尘爆炸危险性评价研究较少、各评价因素选择偏差较大的问题,通过分析煤尘爆炸特性,提出以煤尘可爆性危险、煤尘爆炸浓度危险、点火源危险3个必要条件为一级指标,煤质变异程度、挥发分、水分、灰分等14个二级指标,以层次分析法确定各指标的主观权重,以熵权法确定各指标的客观权重,利用乘法归一化方法对各指标的组合权重进行计算,构建集对分析-组合赋权煤尘爆炸危险性评价模型,并将该模型与已较成熟的改进FAHP模型、模糊事故树模型、灰色聚类评估体系、未确知测度评价模型一同应用于济宁某矿的煤尘爆炸危险性评价过程中,结果显示:集对分析-组合赋权评价模型、改进FAHP模型、灰色聚类评估体系评价结果为一般危险等级,模糊事故树模型的评价结果为较安全等级,集对分析-组合赋权煤尘爆炸危险性评价模型评价结果与改进FAHP模型、灰色聚类评估体系、未确知测度评价模型的评价结果一致,该模型对煤尘爆炸危险的评价具有较好的适用性。 相似文献
8.
9.
Short-range orders of CdxSe70−xTe30 amorphous alloys of a chalcogenide system with 2≤x≤10 have been studied by wide-angle X-ray scattering (WAXS). Once the hypotheses on the local order of the alloy had been formulated, the radial distribution function (RDF) analysis have make it possible to evaluate them referring specifically to the coordination of the atoms. The structural parameters such as atomic distance between the different possible pairs of atoms in each element J(r), the structure factor F(q), the pair distribution function G(r) and the coordination numbers for amorphous samples have been discussed. Moreover, in our system, under study, the average coordination numbers of the three different atoms involved and their distance to the first coordination sphere have been determined. However, the extraction of the inverse Fourier transforms to generated atomic distribution function has led us to a simulated reduced interference function Q(q). 相似文献
10.