Soft Skills as Predictors of Success in Software Engineering Through Analysis of Confidence, Adaptability and Time Management

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

While successful software engineering students must demonstrate robust technical skills, the ability to acquire and master soft skills is just as crucial to their long-term professional success. These abilities are essential as they compliment technical expertise. Currently, research on soft skills primarily focuses on areas such as communication, teamwork and leadership. However, there is limited research exploring how confidence, adaptability and time management correlate with academic performance and contribute to building better prepared students for the job market. Time management, adaptation and building confidence are crucial non-technical abilities that allow software engineering students to succeed in a holistic way in academia and in their careers. In addition, the belief of a student in their own abilities to accomplish tasks and understand the concepts or modules learning outcomes presented to them forms the foundation of their growth. This study investigated whether soft skills such as confidence, adaptation and time management can be a predictor of success for software engineering students. The analysis of student self-reported data identified four principal clusters: high achievers (46.4%), mid-high performers (33.3%), mid-performers (13%) and developing performers (7.2%). Performance indicators suggest high reliability in grade prediction with an R2 value of 0.837 indicating that approximately 83.7% of the variance in student grades can be explained by the model results. Furthermore, an RMSE of 3.63 indicates that predictions deviate by less than 4 points on a 100 point scale. A standard deviation of RMSE (0.98) suggests consistent prediction accuracy across different student data. This study shows that software engineering curricula should also focus on equipping students with not only cutting edge technological tools and technical skills but also the most effective approaches to education by incorporating these soft skills.

Original languageEnglish
Title of host publicationProceedings of the 6th ECSEE 2025 - European Conference on Software Engineering Education
PublisherAssociation for Computing Machinery, Inc
Pages200-209
Number of pages10
ISBN (Electronic)9798400712821
DOIs
Publication statusPublished - 1 Jun 2025
Event6th European Conference on Software Engineering Education, ECSEE 2025 - Seeon, Germany
Duration: 2 Jun 20254 Jun 2025

Publication series

NameProceedings of the 6th ECSEE 2025 - European Conference on Software Engineering Education

Conference

Conference6th European Conference on Software Engineering Education, ECSEE 2025
Country/TerritoryGermany
CitySeeon
Period2/06/254/06/25

Keywords

  • adaptability
  • confidence
  • soft skills
  • students
  • time management

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