SHF: Medium: Collaborative Research: Programming Strategies

SHF：媒介：协作研究：编程策略

• 批准号: 1703734
• 负责人: Thomas LaToza
• 金额: $ 59.28万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1703734&HistoricalAwards=false
• 关键词: SHF; Medium; Collaborative; Research; Programming

Software developers create and maintain software of all kinds, from consumer applications, enterprise business software, and government websites, to safety-critical systems that manage infrastructure for airplanes, traffic, and water. Implicitly, software developers use programming strategies to read, write, test, and repair software. This project will systematically investigate these strategies, developing new ways to describe, disseminate, and effectively teach programming strategies. The project will also explore the effect of programming strategies on productivity, investigating if and how they mediate the effectiveness of software development tools and techniques such as programming languages, software development methodologies, and developer tools.The approach will encompass a comprehensive set of studies of two kinds. The first kind will be systematic analyses of recordings of software developers at work, made possible by the recent availability of hundreds of thousands of hours of work live-streamed by developers on popular websites. The project will extract strategies from these diverse videos, curating these strategies in a repository of abstract strategy descriptions. The second kind of study will be a series of laboratory and field studies investigating how programming strategies vary in effectiveness as well as how strategies mediate the effectiveness of developer tools and techniques. Together, these studies will create a scientific foundation for the study of programming strategies as well as a practical new resource offering a repository of strategy descriptions to both researchers and educators.

软件开发人员创建和维护各种类型的软件，从消费者应用程序、企业业务软件和政府网站，到管理飞机、交通和水的基础设施的安全关键系统。软件开发人员含蓄地使用编程策略来读取、编写、测试和修复软件。这个项目将系统地研究这些策略，开发新的方法来描述、传播和有效地教授编程策略。该项目还将探索编程策略对生产力的影响，调查它们是否以及如何调节软件开发工具和技术（如编程语言、软件开发方法和开发人员工具）的有效性。该方法将包括两种全面的研究。第一种是对软件开发人员工作时的录音进行系统分析，最近在热门网站上可以看到开发人员数十万小时的工作直播，这使其成为可能。该项目将从这些不同的视频中提取策略，并在抽象策略描述的存储库中管理这些策略。第二类研究将是一系列实验室和实地研究，调查编程策略在有效性方面的差异，以及策略如何调节开发人员工具和技术的有效性。总之，这些研究将为规划策略的研究创造科学基础，并为研究人员和教育工作者提供策略描述库的实用新资源。

项目成果

RulePad: interactive authoring of checkable design rules

• DOI: 10.1145/3368089.3409751
• 发表时间: 2020-07
• 期刊: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
• 作者: Sahar Mehrpour;Thomas D. Latoza;Hamed Sarvari

Explicit programming strategies

• DOI: 10.1007/s10664-020-09810-1
• 发表时间: 2019-10
• 期刊: Empirical Software Engineering
• 影响因子: 4.1
• 作者: Thomas D. Latoza;Maryam Arab;Dastyni Loksa;Amy J. Ko

Active Documentation: Helping Developers Follow Design Decisions

主动文档：帮助开发人员遵循设计决策

• DOI: 10.1109/vlhcc.2019.8818816
• 发表时间: 2019
• 期刊: Symposium on Visual Languages and Human-Centric Computing (VL/HCC
• 作者: Mehrpour, Sahar;LaToza, Thomas D.;Kindi, Rahul K.
• 通讯作者: Kindi, Rahul K.

An Exploratory Study of Sharing Strategic Programming Knowledge

• DOI: 10.1145/3491102.3502070
• 发表时间: 2022-04
• 期刊: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
• 作者: Maryam Arab;Thomas D. Latoza;Jenny T Liang;Amy J. Ko

Can static analysis tools find more defects?: A qualitative study of design rule violations found by code review

静态分析工具能否发现更多缺陷？：对代码审查发现的设计规则违规的定性研究

• DOI: 10.1007/s10664-022-10232-4
• 发表时间: 2023
• 期刊: Empirical Software Engineering
• 影响因子: 4.1
• 作者: Mehrpour, Sahar;LaToza, Thomas D.
• 通讯作者: LaToza, Thomas D.