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Narciso Cerpa

dblp:07/366 · DBLP profile ↗
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15ranked-venue papers
6as first author
0since 2021 · last 2016
0000-0003-4258-8626ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 12 · 4 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 77% Requirements engineering and software design · 23%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering
developer studies
0.011997
The Effect of Department Size on Developer Attitudes to Prototyping · ICSE 1997
Requirements engineering and software design › software design methodology
prototyping
0.011997
The Effect of Department Size on Developer Attitudes to Prototyping · ICSE 1997

Methods — techniques the papers use, named apart from their topics

survey · 0.0
YearPublicationVenuePosition
2016 Challenges of project management in global software development: A client-vendor analysis
Mahmood Niazi, Sajjad Mahmood, Mohammad R. Alshayeb, Mohammed Rehan Riaz, Kanaan Faisal, Narciso Cerpa, Siffat Ullah Khan, Ita Richardson
Inf. Softw. Technol.6
2016 Evaluating different families of prediction methods for estimating software project outcomes
Narciso Cerpa, Matthew Bardeen, César A. Astudillo, June M. Verner
J. Syst. Softw.1
2014 Factors that motivate software engineering teams: A four country empirical study
June M. Verner, Muhammad Ali Babar 0001, Narciso Cerpa, Tracy Hall, Sarah Beecham
J. Syst. Softw.3
2011 The optimization of success probability for software projects using genetic algorithms
Francisco Reyes, Narciso Cerpa, Alfredo Candia-Véjar, Matthew Bardeen
J. Syst. Softw.2
2010 Evaluating logistic regression models to estimate software project outcomes
Narciso Cerpa, Matthew Bardeen, Barbara A. Kitchenham, June M. Verner
Inf. Softw. Technol.1
2008 What factors lead to software project failure?
abstract
It has been suggested that there is more than one reason for a software development project to fail. However, most of the literature that discusses project failure tends to be rather general, supplying us with lists of risk and failure factors, and focusing on the negative business effects of the failure. Very little research has attempted an in-depth investigation of a number of failed projects to identify exactly what are the factors behind the failure. In this research we analyze data from 70 failed projects. This data provides us with practitionerspsila perspectives on 57 development and management factors for projects they considered were failures. Our results show that all projects we investigated suffered from numerous failure factors. For a single project the number of such factors ranges from 5 to 47. While there does not appear to be any overarching set of failure factors we discovered that all of the projects suffered from poor project management. Most projects additionally suffered from organizational factors outside the project managerpsilas control. We conclude with suggestions for minimizing the four most common failure factors.
June M. Verner, Jennifer Sampson, Narciso Cerpa
RCIS3
2008 What do software practitioners really think about project success: A cross-cultural comparison
Narciso Cerpa, June M. Verner, Mario Rivas, J. Drew Procaccino
J. Syst. Softw.2
2007 A Practitioner Experiment in Understanding Software Process Improvement Using Systems Modular Analysis
Narciso Cerpa, June M. Verner
EuroSPI1
2007 State of the practice: An exploratory analysis of schedule estimation and software project success prediction
June M. Verner, William M. Evanco, Narciso Cerpa
Inf. Softw. Technol.3
1999 Heuristic principles for the design of artificial neural networks
Steven Walczak, Narciso Cerpa
Inf. Softw. Technol.2
1998 Case study: The effect of IS maturity on information systems strategic planning
Narciso Cerpa, June M. Verner
Inf. Manag.1
1997 The Effect of Department Size on Developer Attitudes to Prototyping
abstract
We survey software practitioners' perceptions of the prototyping and waterfall approaches and find that department size has a significant effect on their attitudes to the advantages and disadvantages of the approaches.Overall respondents from small departments prefer a prototyping approach, respondents from medium sized departments prefer a waterfall approach, while respondents from large departments are more aware of the benefits of both approaches.However, until a mature controlled software development process is in place all the benefits provided by these software development approaches are unlikely to be perceived.
June M. Verner, Narciso Cerpa
ICSE2
1997 Prototyping: Does Your View of its Advantages Depend on Your Job?
June M. Verner, Narciso Cerpa
J. Syst. Softw.2
1996 Prototyping: some new results
Narciso Cerpa, June M. Verner
Inf. Softw. Technol.1
1995 Pre-physical data base design heuristics
Narciso Cerpa
Inf. Manag.1