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IET Software
H-index 10

IET Software

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 610 26 28 9

Additional Metrics

Number of Best Scientists*: 29
Documents by Best Scientists*: 31
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 50
SCIMAGO SJR: 0.387
Impact Factor: 1.3

Overview

Top Research Topics at IET Software?

The aim of IET Software is to expand the discussion of research in Software engineering, Software development, Software, Software quality and Data mining. Software engineering research presented in the journal encompasses a variety of subjects, including Programming language, Software system and Systems engineering. IET Software tackles issues in Programming language, particularly in the topics of Domain-specific language, Unified Modeling Language and Java.

Specifically, studies on Component-based software engineering are prevalent in the Software system works discussed. The studies on Software development discussed can also contribute to research in the domains of Project management and Process management. It links adjacent topics like Process management with Agile software development.

IET Software focuses on Software but the discussions also offer insight into other areas such as Quality (business), Machine learning, Empirical research and Artificial intelligence. The journal dives deep in exploring the relationship between the study of Software quality and Reliability engineering. IET Software explores research in Software maintenance and the adjacent study of Maintainability.

  • Software engineering (21.60%)
  • Software development (20.79%)
  • Software (20.29%)

What are the most cited papers published in the journal?

  • Which battery model to use (211 citations)
  • Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum (167 citations)
  • Validation of web service compositions (94 citations)

Research areas of the most cited articles at IET Software:

The published papers focus on Software development, Software engineering, Software, Programming language and Software maintenance. Software development research is the primary subject tackled in the journal articles with a focus in Software development process. While Software is the focus of the journal papers, it also provides insights into the studies of Artificial neural network, Machine learning, Artificial intelligence and Data mining.

What topics the last edition of the journal is best known for?

  • Artificial intelligence
  • Operating system
  • Programming language

The previous edition focused in particular on these issues:

The journal investigates areas of study like Process management, Software engineering, Agile software development, Programming language and Software quality. While work presented in it provided substantial information on Process management, it also covered topics in Data-driven, Multidisciplinary approach and Software development. In addition to Software development, it tackled discussions on Grounded theory.

Topics in Software engineering explored in it were investigated in conjunction with research in Software development process, Systems thinking, Software customization, Workflow and Distributed development. IET Software explores research in Virtual reality and overlapping concepts in Software to expand the discourse in Software development process. Fault tolerance and Systems analysis are some topics wherein Software quality research discussed in the journal have an impact.

The most cited articles from the last journal are:

  • Assessment of process capabilities in transition to a data-driven organisation: A multidisciplinary approach (3 citations)
  • Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction (3 citations)
  • A new localization method based on improved particle swarm optimization for wireless sensor networks (2 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in IET Software (based on the number of publications) are:

  • Mahmood Niazi (10 papers) absent at the last edition,
  • Tayana Conte (6 papers) absent at the last edition,
  • Mario Piattini (6 papers) absent at the last edition,
  • Lu Lu (6 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Sajjad Mahmood (6 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in IET Software (based on the number of publications) are:

  • King Fahd University of Petroleum and Minerals (17 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Information Technology University (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Castilla–La Mancha (11 papers) absent at the last edition,
  • Islamic Azad University (10 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Wuhan University (9 papers) published 3 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 2.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.50% of all publications and 55.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Software Engineering and Education Requirements

While a career in Software Engineering can be lucrative and satisfying, it requires a solid educational background, often beyond a bachelor's degree. Many software engineers specialize in specific areas of research such as Systems Engineering, Programming Languages, Data Mining and Machine Learning.

For those interested in pursuing a career in Software Engineering education, it may be beneficial to consider becoming a history teacher specializing in the history of software development. This niche area of teaching blends a love for history with the complex world of software, providing a unique and fascinating perspective on the evolution of technology, making it relevant to many of the topics discussed in IET Software research papers.

To become a history teacher in Minnesota, for instance, certain history teacher requirements in Minnesota need to be fulfilled. Researching and understanding these requirements represents a critical step in embarking on this specialized career path.

As the software engineering field continues to evolve and expand, so do the career opportunities and educational requirements. Whether you are drawn towards research, teaching, or hands-on application, there is an avenue within the realm of Software Engineering that is sure to satisfy your professional aspirations.

Top Publications

  • The impact of feature selection techniques on effort-aware defect prediction: An empirical study

    (2023)
    30 Citations
  • An empirical study on the effectiveness of data resampling approaches for cross-project software defect prediction

    Kwabena Ebo Bennin;Amjed Tahir;Stephen G. MacDonell;Jürgen Börstler

    (2021)
    23 Citations
  • Systematic review of question answering over knowledge bases

    Arnaldo Pereira;Alina Trifan;Rui Pedro Lopes;José Luís Oliveira

    (2021)
    19 Citations
  • Resource allocation mechanisms in cloud computing: a systematic literature review

    Mostafa Vakili Fard;Amir Sahafi;Amir Masoud Rahmani;Amir Masoud Rahmani;Peyman Sheikholharam Mashhadi

    (2020)
    18 Citations
  • A systematic mapping study of source code representation for deep learning in software engineering

    (2022)
    18 Citations
  • Benefits management in software development: A systematic review of empirical studies

    Knut Kjetil Holgeid;Magne Jørgensen;Dag I. K. Sjøberg;John Krogstie

    (2021)
    16 Citations
  • Taxonomy of secure data dissemination techniques for IoT environment

    Umesh Bodkhe;Sudeep Tanwar

    (2020)
    12 Citations
  • Revisiting 'revisiting supervised methods for effort-aware cross-project defect prediction'

    (2023)
    12 Citations
  • Manifold embedded distribution adaptation for cross-project defect prediction

    Ying Sun;Xiao-Yuan Jing;Fei Wu;Yanfei Sun

    (2020)
    11 Citations
  • Retracted: Software based sentiment analysis of clinical data for healthcare sector

    (2023)
    9 Citations

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