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#author("2019-01-21T19:15:15+09:00","","") #author("2019-02-15T21:24:12+09:00","","") [[論文英語単語帳/表現集]] ***リンク [#f20ebad6] #ls2(論文英語単語帳/) ** 表現集[#s089e92b] #ls2(論文英語単語帳/表現集/) *リサーチクエスチョン内 [#j5bbd5ca] **書き始め [#td248862] -use data sets --We use the random data sets of the pilot and full study to address this research question. *汎用 [#cf996740] **本研究の目的は [#kc230ae7] -object -The object of our study is the impact of OSes and environ- ments on build results to analyze the phenomenon of “build inflation”, where an excessive number of builds on heteroge- neous combinations of OSes and environments can introduce bias in build results. --The object of our study is the impact of OSes and environ- ments on build results to analyze the phenomenon of “build inflation”, where an excessive number of builds on heteroge- neous combinations of OSes and environments can introduce bias in build results. -aim --The aim of this research is to answer this question and to increase our understanding of what developers think and do when it comes to reviewing test code. **本研究の全体にわたって [#a6cbe1dd] -For the full study, --For the full study, we measured the agreement (a) for each combination of (round, group) separately (i.e., two raters per comment), and (b) across both groups (i.e., more than two raters per comment). **を採用した [#o1467eae] -We select these four publicly available repair techniques that have been evaluated against the Defects4J benchmark and ignore others which either focus on another language [29, 40, 56] or are not publicly available [22, 24]. **を実施した [#saa4ca41] -conduct --We conducted both quantitative and qualitative methods to analyze more than 300,000 code reviews, and interviewed 12 developers about how they review test files. **ステップ [#ba0ea8cb] ***最初のステップ [#g1cb4869] -As a first step, we measured the percentage of agreement on the presence and absence of emotions. ***第二ステップ [#h96f6fce] -As a second step, we used Cohen’s κ to calculate agreement across all raters of a study for each comment. **メトリクス [#i4e6d6ee] ***は説明される [#a9576b84] -explained using --Then the mediator (LOC) is explained using the independent variable (the same single OO metric) (step 2). *図 [#v7424ed5] **説明 [#g8327350] -we present an overview of the defect categorization approaches in the literature. -Figure 1 gives an overview of the multiple knapsack problem -Fig. 1 depicts a path diagram showing a direct relationship between an independent variable (IV, an OO metric) and a dependent variable (DV, number of faults). **キャプション [#b5a2a670] -Figure 1: Path diagram illustrating a simple model for the relationship between OO metrics and faults -Figure 2: Path diagram illustrating the mediation eect of size on the relationships between OO metrics and faults *数式 [#a0886167] **変数Xと〜 [#sb2fa87a] -given --Given an independent variable X and a dependent variable Y , the effect of X on Y may be transmitted through a third intervening (mediating) variable M. *その他 [#wa2d9faa] **適したものにするにするために [#u0fe1c57] -To make our analysis feasible, --To make our analysis feasible, we did not distinguish between the 573 different hardware architectures in our data set, but treated them as equal. The analysis of the impact of hardware architecture is left as future work. **効率化するために [#n2e49951] -To reduce time --To reduce time and (to some degree) simplify our analysis, we filtered out the other OSes and Perl environments, yielding a data set of 62.8 million builds on 10 OSes and 13 environments (Perl 5.8 to 5.21, excluding 5.09) for a period of about 5.5 years between January 2011 to June 2016. **第一フェーズでは [#iae339cb] -The first phase --The first phase in the release engineering pipeline is the movement of code changes made by developers in their own development branch across their team’s branch all the way up to the project’s master branch [13]. **ルールは公開している [#c24f76c4] -provide --For reproducibility and replication, we provide all scripts in the supplementary material online [24]. **帰無仮説 [#cdbfecfb] -Our research questions are: --RQ1: does class size have a mediation effect on the relation- ships between OO metrics and the number of faults? --RQ2: does class size have a moderation effect on the relationships between OO metrics and the number of faults? -We test the following two Null Hypotheses: --H0: class size has no mediation effect on the relationship between OO metrics and the number of faults. --H1: class size has no moderation effect on the relationship between OO metrics and the number of faults.
