Skip to search formSkip to main contentSkip to account menu

Gaps between industry expectations and the abilities of graduates

The results of a systematic literature review conducted to determine which areas graduating students most frequently fall short of the expectations of industry or macademia indicate that graduating students are lacking in many different areas.
View on ACM (opens in a new tab)

A systematic literature review to identify and classify software requirement errors

View via Publisher (opens in a new tab)

Investigating the skill gap between graduating students and industry expectations

The results of this study indicate that recent graduates struggle with using configuration management systems, effectively communicating with co-workers and customers, producing unit tests for their code, and other skills or abilities.
View on ACM (opens in a new tab)

Evaluating the use of model-based requirements verification method: A feasibility study

A model-based requirements verification method called NLtoSTD is proposed, which transforms NL requirements into a state transition diagram (STD) that can be verified through automated reasoning and is capable of finding ambiguities and missing functionalities in a set of NL requirements.
View on IEEE (opens in a new tab)

Development of a human error taxonomy for software requirements: A systematic literature review

View via Publisher (opens in a new tab)

A Behavior Marker tool for measurement of the Non-Technical Skills of Software Professionals: An Empirical Investigation

The initial results show that the behavior marker tool can be reliably used with minimal training and can be used by different managers or coaches to measure the non-technical skills of software development individuals and teams.
View via Publisher (opens in a new tab)

Assigning student programming pairs based on their mental model consistency: an initial investigation

Results from an empirical study conducted to investigate the effectiveness of pairing students based on their mental model consistency indicate thatmental model consistency is a predictor of student success in an introductory programming course.
View on ACM (opens in a new tab)

Towards Standardizing and Improving Classification of Bug-Fix Commits

The rules, data, and the model proposed in this paper have the potential to be used by people analyzing open source repositories to improve the labeling of data used in their analysis.
View on IEEE (opens in a new tab)

Using error abstraction and classification to improve requirement quality: conclusions from a family of four empirical studies

This research extends Lanubile et al.
View on Springer (opens in a new tab)

Social sensitivity correlations with the effectiveness of team process performance: an empirical study

The results support the hypothesis that the social sensitivity is highly correlated with team effectiveness and suggest that educators in computer-related disciplines, as well as computer professionals in the workforce, should take the concept of social sensitivity seriously as an aid or obstacle to team performance and the teamwork experience.
View on ACM (opens in a new tab)
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)