What is she best known for?
The fields of study she is best known for:
- The Internet
- Software engineering
- Software development
Daniela Damian spends much of her time researching Knowledge management, Software development, Requirements engineering, Social software engineering and Requirements management.
Daniela Damian is studying Collaborative software, which is a component of Knowledge management.
In her study, Distributed development is strongly linked to Data science, which falls under the umbrella field of Software development.
She combines subjects such as Outsourcing, Knowledge transfer, Requirements analysis and Systems analysis with her study of Requirements engineering.
Her Social software engineering research is multidisciplinary, relying on both Software project management, Lean software development, Software development process and Software peer review.
Her Requirement research integrates issues from Formal specification and Software requirements.
Her most cited work include:
- Selecting Empirical Methods for Software Engineering Research (690 citations)
- The promises and perils of mining GitHub (439 citations)
- Essential communication practices for Extreme Programming in a global software development team (210 citations)
What are the main themes of her work throughout her whole career to date?
Daniela Damian mostly deals with Knowledge management, Software development, Requirements engineering, Process management and Software engineering.
Her study in the fields of Collaborative software under the domain of Knowledge management overlaps with other disciplines such as Interdependence.
Many of her research projects under Software development are closely connected to Empirical research with Empirical research, tying the diverse disciplines of science together.
Daniela Damian works mostly in the field of Requirements engineering, limiting it down to topics relating to Requirements analysis and, in certain cases, Software requirements, as a part of the same area of interest.
As part of the same scientific family, she usually focuses on Process management, concentrating on Agile software development and intersecting with Empirical process.
Her Formal specification and Domain study in the realm of Software engineering connects with subjects such as Operationalization.
She most often published in these fields:
- Knowledge management (38.69%)
- Software development (30.36%)
- Requirements engineering (27.38%)
What were the highlights of her more recent work (between 2018-2021)?
- Process management (25.00%)
- Requirements engineering (27.38%)
- Ticket (5.95%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Process management, Requirements engineering, Ticket, Engineering management and Data science.
Her studies deal with areas such as Agile software development and Compliance as well as Process management.
The various areas that Daniela Damian examines in her Requirements engineering study include Software ecosystem, Artifact and Library science.
Her work carried out in the field of Data science brings together such families of science as Sentiment analysis and Coupling.
Daniela Damian focuses mostly in the field of Sociotechnical system, narrowing it down to matters related to Theme and, in some cases, Knowledge management.
As part of her studies on Knowledge management, she often connects relevant areas like Software development.
Between 2018 and 2021, her most popular works were:
- Evaluating the effectiveness of mixed reality music instrument learning with the theremin (6 citations)
- A method for analyzing stakeholders’ influence on an open source software ecosystem’s requirements engineering process (6 citations)
- Can a Machine Learn Through Customer Sentiment?: A Cost-Aware Approach to Predict Support Ticket Escalations (4 citations)
In her most recent research, the most cited papers focused on:
- The Internet
- Software engineering
- Software development
Daniela Damian mainly focuses on Data science, Human–computer interaction, Process management, Sociotechnical system and Thesaurus.
Her Data science research includes themes of Sentiment analysis and Happiness.
Her work on Mixed reality as part of general Human–computer interaction study is frequently linked to Sequence, therefore connecting diverse disciplines of science.
Many of her studies involve connections with topics such as Compliance and Process management.
Her biological study spans a wide range of topics, including Variety, User involvement, Theme and Coupling.
Her multidisciplinary approach integrates Thesaurus and Piano playing in her work.
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