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Record W122109127

Software Process Improvement In Bangladesh.

2006· article· en· W122109127 on OpenAlexaboutno aff
Bernard Wong, Sazzad Hasan

Bibliographic record

VenueSoftware Engineering Research and Practice · 2006
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsOutsourcingCapability Maturity Model IntegrationBusinessMaturity (psychological)Product (mathematics)Software developmentSoftware development processCapability Maturity ModelPopulationSoftwareEconomic growthEngineeringMarketingComputer sciencePolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

the process is not understood or the process is not operating at its best. With offshore outsourcing and growing countries like Bangladesh is in a position of exporting their local Information Technology services. However, what is the state of Information Technology in Bangladesh? No documented cases of Bangladesh companies have the maturity of CMM level 3 or above. What are the challenges faced by Information Technology companies in Bangladesh? 2. Current Scenario of Bangladesh in SPI Bangladesh is one of the largest developing countries in the world with a population of more than 135 million. The software industry in Bangladesh has come a long way over the last few decades. In the last five to ten years, a good number of entrepreneurs and talented professionals have come forward to make the industry more dynamic and more vibrant. According to the BASIS (the Bangladesh Association of Software and Information Services), more than three hundred (300) registered software companies are currently operating in Bangladesh. From them, more than fifty (50) software and IT service companies are exporting their product and services to thirty (30) different countries in the world including USA, Canada, European countries, Middle East, Japan, Australia, South Africa and some of the South East Asian countries (Mashroor 2005). However, it is reported that not a single company has achieved SEI's (Software Engineering Institute at Carnegie-Mellon University, USA) SW-CMM or CMMI level 3, though some of them exercise PSP (Personal Software Process) to improve the quality of their development process (Hossain 2004, p.5). CMM/CMMI level three (3) is generally considered the minimum requirement for a company to be eligible to participate in global software industry. Therefore, it seems that software process and process improvement is not realized properly among the software organizations of Bangladesh. Recently, some companies are claiming that they are on the way of gaining CMM/CMMI level 3 even one foreign company claiming, whose local office is in Bangladesh, it has already achieved CMMI level 3, and it is a good news for software industry in Bangladesh. This scenario would influence software companies to introduce Software Process Improvement program in their organizations. ABSTRACT

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.007

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 head0.026
GPT teacher head0.330
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations6
Published2006
Admission routes1
Has abstractyes

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