THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Out of the Crisis

This sales letter may not influence you to be smarter, but the book that we offer will evoke you to be smarter. Yeah, at least you'll know more than others who don't. This is what called as the quality life improvisation. Why should this research methods in social relations? It's because this is your favourite theme to read. If you like this theme about, why don't you read the book to enrich your discussion?

Research methods in social relations

Context: In a previous study, we reported on a systematic literature review (SLR), based on a manual search of 13 journals and conferences undertaken in the period 1st January 2004 to 30th June 2007. Objective: The aim of this on-going research is to provide an annotated catalogue of SLRs available to software engineering researchers and practitioners. This study updates our previous study using a broad automated search. Method: We performed a broad automated search to find SLRs published in the time period 1st January 2004 to 30th June 2008. We contrast the number, quality and source of these SLRs with SLRs found in the original study. Results: Our broad search found an additional 35 SLRs corresponding to 33 unique studies. Of these papers, 17 appeared relevant to the undergraduate educational curriculum and 12 appeared of possible interest to practitioners. The number of SLRs being published is increasing. The quality of papers in conferences and workshops has improved as more researchers use SLR guidelines. Conclusion: SLRs appear to have gone past the stage of being used solely by innovators but cannot yet be considered a main stream software engineering research methodology. They are addressing a wide range of topics but still have limitations, such as often failing to assess primary study quality.

https://romisatriawahono.net/wp-content/uploads/2013/01/Kitchenham-Systematic-literature-reviews-in-software-engineering-%E2%80%93-A-tertiary-study-2012.pdf

Systematic literature reviews in software engineering - A tertiary study

This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts

/pdf/guide-to-advanced-empirical-software-engineering-2f0my2wuh8.pdf

Guide to Advanced Empirical Software Engineering

Background: One major problem for integrating study results into a common body of knowledge is the heterogeneity of reporting styles: (1) It is difficult to locate relevant information and (2) important information is often missing. Objective: A checklist for reporting results from controlled experiments is expected to support a systematic, standardized presentation of empirical research, thus improving reporting in order to support readers in (1) finding the information they are looking for, (2) understanding how an experiment is conducted, and (3) assessing the validity of its results. Method: The checklist for reporting is based on (1) a survey of the most prominent published proposals for reporting guidelines in software engineering and (2) an iterative development incorporating feedback from members of the research community. Result: This paper presents a unification of a set of guidelines for reporting experiments in software engineering. Limitation: The checklist has not been evaluated broadly, yet. Conclusion: The resulting checklist provides detailed guidance on the expected content of the sections and subsections for reporting a specific type of empirical studies, i.e., experiments (controlled experiments and quasi-experiments).

/pdf/reporting-experiments-in-software-engineering-4sw6a6janq.pdf

Reporting Experiments in Software Engineering

One purpose of empirical software engineering is to enable an understanding of factors that influence software development. Surveys are an appropriate empirical strategy to gather data from a large population (e.g., about methods, tools, developers, companies) and to achieve an understanding of that population. Although surveys are quite often performed, for example, in social sciences and marketing research, they are underrepresented in empirical software engineering research, which most often uses controlled experiments and case studies. Consequently, also the methodological support how to perform such studies in software engineering is rather low. However, with the increasing pervasion of the Internet it is possible to perform surveys easily and cost-effectively over Internet pages (i.e., on-line), while at the same time the interest in performing surveys is growing. The purpose of this paper is twofold. First we want to arise the awareness of on-line surveys and discuss methods how to perform these in the context of software engineering. Second, we report our experience in performing on-line surveys in the form of lessons learned and guidelines.

Conducting on-line surveys in software engineering

A 2002 survey found that many companies use software reviews unsystematically, creating a mismatch between expected outcomes and review implementations. This suggests that many software practitioners understand basic review concepts but often fall to exploit their full potential.

Software reviews, the state of the practice

A survey is an empirical research strategy for the collection of information from heterogeneous sources. In this way, survey results often exhibit a high degree of external validity. It is complementary to other empirical research strategies such as controlled experiments, which usually have their strengths in the high internal validity of the findings. While there is a growing number of (quasi-)controlled experiments reported in the software engineering literature, few results of large scale surveys have been reported there. Hence, there is still a lack of knowledge on how to use surveys in a systematic manner for software engineering empirical research.

Practical Experiences in the Design and Conduct of Surveys in Empirical Software Engineering

A systematic approach to decision making in software engineering is required, for instance, if an organization aims at achieving CMMI level three. Rational decision making regarding the selection and introduction of SE technologies requires adequate information about their suitability for the intended organizational context. Research is often unable to provide such information, and this could be one reason why promising techniques are sometimes not adopted in practice. From a research point of view, successful technology transfer requires knowing which information decision makers in industry need, and where they actually look for it. With this knowledge, empirical research can strive to produce the needed information in order to increase the likelihood of successful technology adoption. To address these questions, we conducted an online survey among German software industry decision makers. To focus the survey, we used inspections as an exemplary technology. We invited 9653 companies to participate, from which we received 92 fully completed questionnaires. Our main findings are that information regarding the impact of technologies on product quality, cost, and development time, as well as on technology cost-benefit ratio is considered most important among decision makers. The preferred sources of information are colleagues, textbooks, and industry workshops.

Marcus Ciolkowski

Papers

Reporting Experiments in Software Engineering

Conducting on-line surveys in software engineering

Software reviews, the state of the practice

Practical Experiences in the Design and Conduct of Surveys in Empirical Software Engineering

Relevant Information Sources for Successful Technology Transfer: A Survey Using Inspections as an Example