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Record W2508692524 · doi:10.6000/1927-5129.2016.12.56

Software Project Management as Team Building Intervention

2016· article· en· W2508692524 on OpenAlexvenueno aff
Mohammad Khalid Shaikh, Akhtar Raza, Kamran Ahsan

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2016
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsSoftware project managementIntervention (counseling)Team buildingCohesion (chemistry)Team software processEngineering managementTeam managementTeamworkTeam effectivenessSoftwareProject managementMedical educationProject managerComputer scienceProject teamSoftware engineeringPsychologyEngineeringSoftware developmentKnowledge managementSoftware development processSystems engineeringMedicineSoftware constructionManagement

Abstract

fetched live from OpenAlex

The courses of software project management (SPM) and Software engineering (SE) are regularly taught at undergraduate degree program in computer science. Students of these programs also have to undertake projects as part of various courses during their degree program. The purpose of this research is to assess whether the software engineering or the software project management course had enhanced the cohesion among team members while undertaking a six month or a year-long project. The teaching of these two courses is considered as a team building intervention in this research. A total of 167 students returned a modified version of Group Environment Questionnaire distributed to 200 students. Off these, 81 were those who had taken the SE course and subsequently did a project before they had taken SPM course. The rest of the students (85) consisted of those who had taken SPM and had undertaken final project. The results of this paper indicates that the SPM as compared to SE as a team building intervention had a better effect on team cohesion. The paper has successfully identified a single course that can enhance the performance of students as a team in contrast to proposing all the courses taught at the undergraduate computer science degree program as intervention for better team building and team work as proposed by Hogan & Thomas, 2005.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.297
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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