D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 68 Citations 16,747 290 World Ranking 945 National Ranking 561

Research.com Recognitions

Awards & Achievements

2018 - IEEE Fellow For contributions to reliable and secure software engineering

Overview

What is she best known for?

The fields of study she is best known for:

  • Software
  • Operating system
  • Software engineering

Her primary areas of study are Software engineering, Pair programming, Agile software development, Extreme programming and Software. Her Software engineering research integrates issues from Test-driven development, Software development, Software development process, Programming language and Collaborative software. Her research investigates the link between Software development and topics such as Software system that cross with problems in Software design.

Her Agile software development study deals with Empirical process intersecting with Agile usability engineering and Lean software development. Her Extreme programming research is multidisciplinary, relying on both Extreme programming practices, Team software process, Knowledge management and Artificial intelligence. Her Software research incorporates elements of Computer security, Data science and Vulnerability.

Her most cited work include:

  • Strengthening the case for pair programming (648 citations)
  • Pair programming illuminated (394 citations)
  • Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities (340 citations)

What are the main themes of her work throughout her whole career to date?

Laurie Williams mainly focuses on Software engineering, Software, Software development, Computer security and Reliability engineering. Her Software engineering study combines topics in areas such as Extreme programming practices, Software development process, Software construction and Pair programming. Her work in Software addresses issues such as Source code, which are connected to fields such as Component.

Her biological study spans a wide range of topics, including Knowledge management and Process management. Her Reliability engineering research includes elements of Test suite, Test case, Technical report, Development testing and Regression testing. Her Agile software development research incorporates themes from Empirical process and Agile usability engineering.

She most often published in these fields:

  • Software engineering (30.87%)
  • Software (25.00%)
  • Software development (20.41%)

What were the highlights of her more recent work (between 2015-2021)?

  • Software (25.00%)
  • Software engineering (30.87%)
  • Computer security (13.78%)

In recent papers she was focusing on the following fields of study:

Software, Software engineering, Computer security, Software development and Data science are her primary areas of study. Her work carried out in the field of Software brings together such families of science as Software security assurance, Software deployment, Vulnerability and Source code. Her studies deal with areas such as Quality, Reliability and Scripting language as well as Software engineering.

Her study in the fields of Attack surface, Code and Confidentiality under the domain of Computer security overlaps with other disciplines such as Logging. Her Software development research is multidisciplinary, incorporating elements of Software bug, Process and Process management. Her work deals with themes such as Information technology, Empirical research, Management science and Rubric, which intersect with Data science.

Between 2015 and 2021, her most popular works were:

  • Continuous deployment at Facebook and OANDA (68 citations)
  • The seven sins: security smells in infrastructure as code scripts (52 citations)
  • The Top 10 Adages in Continuous Deployment (46 citations)

In her most recent research, the most cited papers focused on:

  • Software
  • Operating system
  • Software engineering

Her primary scientific interests are in Software, Software engineering, Computer security, Software development and Software deployment. Her Software research includes themes of Context, Software security assurance, Knowledge management and Source code. The various areas that Laurie Williams examines in her Software engineering study include Quality, Instrumentation, Software walkthrough, Reliability and Software quality.

Her Computer security research is multidisciplinary, relying on both Software bug and Norm. Laurie Williams works mostly in the field of Software development, limiting it down to concerns involving Process management and, occasionally, Release management and Process. The concepts of her Software deployment study are interwoven with issues in User experience design, Process, End user and Service.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Strengthening the case for pair programming

L. Williams;R.R. Kessler;W. Cunningham;R. Jeffries.
IEEE Software (2000)

1059 Citations

Pair programming illuminated

Laurie Williams;Robert Kessler.
(2007)

743 Citations

Agile software development: it's about feedback and change

L. Williams;A. Cockburn.
IEEE Computer (2003)

576 Citations

The costs and benefits of pair programming

Alistair Cockburn;Laurie Williams.
Extreme programming examined (2001)

517 Citations

Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities

Yonghee Shin;A. Meneely;L. Williams;J. A. Osborne.
IEEE Transactions on Software Engineering (2011)

480 Citations

Improving the CS1 experience with pair programming

Nachiappan Nagappan;Laurie Williams;Miriam Ferzli;Eric Wiebe.
technical symposium on computer science education (2003)

418 Citations

All I really need to know about pair programming I learned in kindergarten

Laurie A. Williams;Robert R. Kessler.
Communications of The ACM (2000)

404 Citations

Empirical Findings in Agile Methods

Mikael Lindvall;Victor R. Basili;Barry W. Boehm;Patricia Costa.
Lecture Notes in Computer Science (2002)

399 Citations

Assessing test-driven development at IBM

E.M. Maximilien;L. Williams.
international conference on software engineering (2003)

388 Citations

Essential communication practices for Extreme Programming in a global software development team

Lucas Layman;Laurie A. Williams;Daniela E. Damian;Hynek Bures.
Information & Software Technology (2006)

349 Citations

Best Scientists Citing Laurie Williams

Pekka Abrahamsson

Pekka Abrahamsson

University of Jyväskylä

Publications: 25

Giancarlo Succi

Giancarlo Succi

Innopolis University

Publications: 21

Burak Turhan

Burak Turhan

University of Oulu

Publications: 21

Natalia Juristo

Natalia Juristo

Technical University of Madrid

Publications: 19

Nachiappan Nagappan

Nachiappan Nagappan

Microsoft (United States)

Publications: 19

Mario Piattini

Mario Piattini

University of Castilla-La Mancha

Publications: 19

Stefan Wagner

Stefan Wagner

University of Stuttgart

Publications: 18

Jan Bosch

Jan Bosch

Chalmers University of Technology

Publications: 17

Tim Menzies

Tim Menzies

North Carolina State University

Publications: 17

Premkumar Devanbu

Premkumar Devanbu

University of California, Davis

Publications: 16

Muhammad Ali Babar

Muhammad Ali Babar

University of Adelaide

Publications: 16

Christian Bird

Christian Bird

Microsoft (United States)

Publications: 16

Andy Zaidman

Andy Zaidman

Delft University of Technology

Publications: 16

Frank Maurer

Frank Maurer

University of Calgary

Publications: 15

Robert Feldt

Robert Feldt

Chalmers University of Technology

Publications: 15

Harald C. Gall

Harald C. Gall

University of Zurich

Publications: 15

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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