H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 4,699 167 World Ranking 6911 National Ranking 336

Overview

What is she best known for?

The fields of study she is best known for:

  • Programming language
  • Software
  • Software engineering

Her scientific interests lie mostly in Software product line, Software, Programming language, Set and Software development. The Software product line study combines topics in areas such as Feature, Code reuse, Formal methods, Formal verification and Data science. Her work carried out in the field of Data science brings together such families of science as Package development process, Software sizing, Data mining and Software metric.

Her Software research is multidisciplinary, incorporating elements of Field, Algorithm and Metamodeling. Her work deals with themes such as Real-time computing and Implementation, which intersect with Set. Her biological study focuses on Software construction.

Her most cited work include:

  • A Classification and Survey of Analysis Strategies for Software Product Lines (302 citations)
  • Delta-oriented programming of software product lines (236 citations)
  • Evolution of software in automated production systems (151 citations)

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

Ina Schaefer focuses on Software, Software product line, Software engineering, Programming language and Software system. The study incorporates disciplines such as Domain, Set, Java and Modular design in addition to Software. Data mining is closely connected to Feature model in her research, which is encompassed under the umbrella topic of Software product line.

Her Software engineering research incorporates themes from Software development, Software development process, Systems engineering and Social software engineering. Her Software development research focuses on Software construction in particular. Her studies deal with areas such as Automated theorem proving and Code as well as Correctness.

She most often published in these fields:

  • Software (40.16%)
  • Software product line (28.28%)
  • Software engineering (27.87%)

What were the highlights of her more recent work (between 2017-2021)?

  • Software (40.16%)
  • Software engineering (27.87%)
  • Programming language (22.13%)

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

Ina Schaefer spends much of her time researching Software, Software engineering, Programming language, Software system and Correctness. She has researched Software in several fields, including Control and Documentation. Her study in Software engineering is interdisciplinary in nature, drawing from both Visualization, Software development, Software product line and Legacy system.

Her Software product line research includes elements of Consistency and Software evolution. The various areas that Ina Schaefer examines in her Programming language study include Key and Distributed computing. In her work, Heuristics is strongly intertwined with Formal verification, which is a subfield of Software system.

Between 2017 and 2021, her most popular works were:

  • A classification of product sampling for software product lines (28 citations)
  • Retest test selection for product-line regression testing of variants and versions of variants (11 citations)
  • Product Sampling for Product Lines: The Scalability Challenge (10 citations)

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

  • Programming language
  • Software
  • Software engineering

Her main research concerns Software, Software engineering, Set, Theoretical computer science and Data mining. Her Software research integrates issues from Key and Language construct. Her Software engineering study deals with Design by contract intersecting with Software development process, Hybrid system, Formal methods and Automated reasoning.

Her Set study is concerned with Programming language in general. Her research in Theoretical computer science intersects with topics in Propositional calculus, Documentation and Feature. Her research integrates issues of Graph, Distributed computing and Calculus in her study of Software product line.

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.

Top Publications

Delta-oriented programming of software product lines

Ina Schaefer;Lorenzo Bettini;Ferruccio Damiani;Nico Tanzarella.
software product lines (2010)

427 Citations

A Classification and Survey of Analysis Strategies for Software Product Lines

Thomas Thüm;Sven Apel;Christian Kästner;Ina Schaefer.
ACM Computing Surveys (2014)

426 Citations

Evolution of software in automated production systems

Birgit Vogel-Heuser;Alexander Fay;Ina Schaefer;Matthias Tichy.
Journal of Systems and Software (2015)

225 Citations

Software diversity: state of the art and perspectives

Ina Schaefer;Rick Rabiser;Dave Clarke;Lorenzo Bettini.
International Journal on Software Tools for Technology Transfer (2012)

157 Citations

Abstract delta modeling

Dave Clarke;Michiel Helvensteijn;Ina Schaefer.
generative programming and component engineering (2010)

128 Citations

Incremental model-based testing of delta-oriented software product lines

Malte Lochau;Ina Schaefer;Jochen Kamischke;Sascha Lity.
tests and proofs (2012)

108 Citations

Flexible product line engineering with a virtual platform

Michał Antkiewicz;Wenbin Ji;Thorsten Berger;Krzysztof Czarnecki.
international conference on software engineering (2014)

104 Citations

Variability Modelling for Model-Driven Development of Software Product Lines

Ina Schaefer.
variability modelling of software intensive systems (2009)

101 Citations

Family-based deductive verification of software product lines

Thomas Thüm;Ina Schaefer;Sven Apel;Martin Hentschel.
generative programming and component engineering (2012)

89 Citations

Analysis Strategies for Software Product Lines

Thomas Thüm;Sven Apel;Christian Kästner;Martin Kuhlemann.
(2012)

88 Citations

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

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