This study investigated the role of personality traits in software implementation tasks among computer science students. Specifically, it examined whether traits like openness, conscientiousness, extraversion, agreeableness, and neuroticism correlated with student developers' productivity and the internal quality of Java programs they implemented. The researchers had 30 CS students complete a personality questionnaire and implement a bowling scorekeeper app in Java. While they found no significant correlations between traits and productivity, some traits like conscientiousness, extraversion, and neuroticism did correlate with the quality of the implemented software.
Do Personality Profiles Differ in the Pakistani Software Industry and Academi...Waqas Tariq
Effects of personality profiles and human factors in software engineering (SE) have been studied from different perspectives such as software life cycle, team performance, software quality attributes and so on. This study intends to compare personality profiles of software engineers in academia and industry. In this survey we have collected personality profiles of software engineers from academia and the local industry in Pakistan. According to the Myers-Briggs Type Indicator (MBTI) instrument, the most prominent personality type among academicians is a combination of Introversion, Sensing, Thinking, and Judging (ISTJ). However the most dominant personality type among software engineers in industry is a combination of Extroversion, Sensing, Thinking, and Judging (ESTJ). The results of study establish that software engineers working in industry are mostly extroverts as compared to those in academia who tend to be introverts. Sensing, Thinking, and Judging (STJ) however remain common in the dominant personality types of software engineers, both in industry and academia.
Towards understanding the influence of personality and team behaviors on requ...IJECEIAES
Requirements engineers play an important role in the development of software products and services. The nature of requirements engineering (RE) is multifaceted and influences the quality, success, or failure of software products. In gathering software requirements, engineers commonly work in a team, particularly when dealing with the customers or modeling the requirements, hence the team behavior may influence the RE activities. The investigation of requirements engineers’ personality and their team behavior associated with RE activities is still an open area in which research is still developing. This study aims to investigate the personality and team behavior of requirements engineers involved in RE activities using a systematic literature review approach. We included 64 primary studies that addressed the association between personality and team behavior of requirements engineers on the effectiveness of RE activities. The result shows that among personality dimensions, extraversion and conscientiousness were found to be the predominant personality traits that positively affect RE activities. Furthermore, team behavior of requirements engineers such as flexibility, collaboration, creativity, innovation, and norms were discovered as factors that influence the RE process, performance, and success. The findings of this study contribute to the body of knowledge and practice of RE by providing empirical evidence on the influence of requirements engineers’ personality and team behavior on the effectiveness of RE activities.
Social science for software developers:
Using tools from social science to inform software design: should software developers also be social scientists?
Social Science for software developers:
Using tools from social science to inform software design: should software developers also be social scientists?
Do Personality Profiles Differ in the Pakistani Software Industry and Academi...Waqas Tariq
Effects of personality profiles and human factors in software engineering (SE) have been studied from different perspectives such as software life cycle, team performance, software quality attributes and so on. This study intends to compare personality profiles of software engineers in academia and industry. In this survey we have collected personality profiles of software engineers from academia and the local industry in Pakistan. According to the Myers-Briggs Type Indicator (MBTI) instrument, the most prominent personality type among academicians is a combination of Introversion, Sensing, Thinking, and Judging (ISTJ). However the most dominant personality type among software engineers in industry is a combination of Extroversion, Sensing, Thinking, and Judging (ESTJ). The results of study establish that software engineers working in industry are mostly extroverts as compared to those in academia who tend to be introverts. Sensing, Thinking, and Judging (STJ) however remain common in the dominant personality types of software engineers, both in industry and academia.
Towards understanding the influence of personality and team behaviors on requ...IJECEIAES
Requirements engineers play an important role in the development of software products and services. The nature of requirements engineering (RE) is multifaceted and influences the quality, success, or failure of software products. In gathering software requirements, engineers commonly work in a team, particularly when dealing with the customers or modeling the requirements, hence the team behavior may influence the RE activities. The investigation of requirements engineers’ personality and their team behavior associated with RE activities is still an open area in which research is still developing. This study aims to investigate the personality and team behavior of requirements engineers involved in RE activities using a systematic literature review approach. We included 64 primary studies that addressed the association between personality and team behavior of requirements engineers on the effectiveness of RE activities. The result shows that among personality dimensions, extraversion and conscientiousness were found to be the predominant personality traits that positively affect RE activities. Furthermore, team behavior of requirements engineers such as flexibility, collaboration, creativity, innovation, and norms were discovered as factors that influence the RE process, performance, and success. The findings of this study contribute to the body of knowledge and practice of RE by providing empirical evidence on the influence of requirements engineers’ personality and team behavior on the effectiveness of RE activities.
Social science for software developers:
Using tools from social science to inform software design: should software developers also be social scientists?
Social Science for software developers:
Using tools from social science to inform software design: should software developers also be social scientists?
The Challenges of Affect Detection in the Social Programmer EcosystemNicole Novielli
Invited talk at the University of Hamburg - January 2016
https://www.inf.uni-hamburg.de/home/news/kolloquium/wise15-16/novielli-nicole.html
More info: N. Novielli, F. Calefato, F. Lanubile. “The Challenges of Sentiment Detection in the Social Programmer Ecosystem” In Proc. 7th Int’l Workshop on Social Software Engineering (SSE’15), Sep. 1, 2015, Bergamo, Italy.
Software engineering involves a large amount of social interaction, as programmers often need to cooperate with others, whether directly or indirectly. However, we have become fully aware of the importance of social aspects in software engineering activities only over the last decade. In fact, it was not until the recent diffusion and massive adoption of social media that we could witness the rise of the “social programmer” and the surrounding ecosystem. Social media has deeply influenced the design of software development-oriented tools such as GitHub (i.e., a social coding site) and Stack Overflow (i.e., a community-based question answering site). Stack Overflow, in particular, is an example of an online community where social programmers do networking by reading and answering others’ questions, thus participating in the creation and diffusion of crowdsourced knowledge and software documentation.
One of the biggest drawbacks of computer-mediated communication is to appropriately convey sentiment through text. While display rules for emotions exist and are widely accepted for interaction in traditional face-to-face communication, web users are not necessarily prepared for effectively dealing with the social media barriers to non-verbal communication. Thus, the design of systems and mechanisms for the development of emotional awareness between communicators is an important technical and social challenge for research related to computer-supported collaboration and social computing.
As a consequence, a recent research trend has emerged to study the role of affect in the social programmer ecosystem, by applying sentiment analysis to the content available in sites such as GitHub and Stack Overflow, as well as in other asynchronous communication artifacts such as comments in issue tracking systems. This talk surveys the state-of-the-art in sentiment analysis tools and examines to what extent they are able to detect affective expressions in communication traces left by software developers. A discussion is offered about the advantages and limitations of choosing sentiment polarity and strength as an appropriate way to operationalize affective states in empirical studies. Finally, open challenges and opportunities of affective software engineering are discussed, with special focus on the need to combine cognitive emotion modeling with affective computing and natural language processing techniques to build large-scale, robust approaches for sentiment detection in software engineering.
It is impossible to separate the human factors from software engineering expertise during
software development, because software is developed by people and for people. The intangible
nature of software has made it a difficult product to successfully create, and an examination of
the many reasons for major software system failures show that the reasons for failures
eventually come down to human issues. Software developers, immersed as they are in the
technological aspect of the product, can quickly learn lessons from technological failures and
readily come up with solutions to avoid them in the future, yet they do not learn lessons from
human aspects in software engineering. Dealing with human errors is much more difficult for
developers and often this aspect is overlooked in the evaluation process as developers move on
to issues that they are more comfortable solving. A major reason for this oversight is that
software psychology (the softer side) has not developed as extensively
Survey on adverse influencing factors in the way of successful requirement en...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Designing Motivation Strategies for Software Engineering Teams: an Empirical Study
A. César C. França, Fabio Q. B. da Silva
Abstract-Background. Even though the amount of researches related to the behavior of software development teams has significantly increased in recent years, researches focusing on motivation as an alternative to lead software projects to success are still rare. Objective/Method: This article describes a survey conducted to identify the relative importance of some factors that affect the motivation of software engineers at work. The conceptual underpinnings of human motivation used in the research are the Expectancy Theory and the Motivation-Hygiene Theory. Results/Conclusion: In the study, a cross-sectional survey was conducted involving 176 software engineers employed at 20 software firms from the State of Pernambuco, Brazil. Data collected with the survey revealed not only the order in which the set of motivators influences the software engineers motivation and other peripheral findings, but also served as a basis to design three motivation strategies for software engineering teams.
Paper presented at the Cooperative and Human Aspects of Software Engineering, Cape Town, 2010.
http://www.haseresearch.com
Computers have transformed our lives; they have changed the way the humans perceive and interact with the world; however, computers do not act by their own, all of them require of commands to work, called software. Creating software requires trained and specialized personnel in the field, such as Managers, which must have skills that allow them to successfully coordinate the development of projects. This research aims to show the abilities that senior management has and which of these are more frequently exhibit in companies that develop automotive embedded software in Mexico, all this in the opinion of the Project Leaders.
Impact of Stress on Software Engineers Knowledge Sharing and Creativity [A Pa...ijcnes
Software development involves technology as well as human efforts. Software engineering is supportive to create a quality of product by adopting the process of sharing knowledge. A lot of research was conducted on the technical side but human side of software development disregarded. Knowledge and creativity considered major factors for improving the software quality. Currently professionals working in the field of software engineering are under impressive pressure which cause stress for the Software engineers. It is highly desirable to conduct an empirical study on impact of stress on software engineers knowledge sharing & creativity. The major motivation for this study is to investigate the impact of job stress factors which can affect the software engineering knowledge sharing capabilities and creativity. The research is based on industrial assessment. For conducting this study we developed a questionnaire based on Stress Factors. Statistical analyses are performed through SPSS tool. On the basis of the results from the survey, we proposed some strategies for those factors that have high impact on software engineers and try to mitigate their affect. These results highlight stress factors and their impact on software engineers knowledge sharing and creativity, working in Pakistani software industry.
Agile Development in Large-Scale: Challenges and Insight from ResearchTorgeir Dingsøyr
Keynote at the SPA Software in Practice, London, 26 June 2019.
Agile methods were aimed at small, co-located teams developing non-critical software products. The success of these methods for small teams have led to use in projects with tens of teams and hundreds of developers. Are agile methods suited in this new context? What fundamental assumptions in agile methods become challenging with scale? What can we learn from prior studies on key areas such as managing uncertainty, coordination, sharing knowledge, self management and tailoring of development method?
Risk and Engineering Knowledge Integration in Cyber-physical Production Syste...SEAA 2022
Felix Rinker 1,2
Kristof Meixner 1,2
Sebastian Kropatschek 3
Elmar Kiesling 4
Stefan Biffl 1,3
1 ISE TU Wien
2 CDL SQI TU Wien
3 CDP Wien
4 IDPKM WU Wien
5 OvGU Magdeburg
The Challenges of Affect Detection in the Social Programmer EcosystemNicole Novielli
Invited talk at the University of Hamburg - January 2016
https://www.inf.uni-hamburg.de/home/news/kolloquium/wise15-16/novielli-nicole.html
More info: N. Novielli, F. Calefato, F. Lanubile. “The Challenges of Sentiment Detection in the Social Programmer Ecosystem” In Proc. 7th Int’l Workshop on Social Software Engineering (SSE’15), Sep. 1, 2015, Bergamo, Italy.
Software engineering involves a large amount of social interaction, as programmers often need to cooperate with others, whether directly or indirectly. However, we have become fully aware of the importance of social aspects in software engineering activities only over the last decade. In fact, it was not until the recent diffusion and massive adoption of social media that we could witness the rise of the “social programmer” and the surrounding ecosystem. Social media has deeply influenced the design of software development-oriented tools such as GitHub (i.e., a social coding site) and Stack Overflow (i.e., a community-based question answering site). Stack Overflow, in particular, is an example of an online community where social programmers do networking by reading and answering others’ questions, thus participating in the creation and diffusion of crowdsourced knowledge and software documentation.
One of the biggest drawbacks of computer-mediated communication is to appropriately convey sentiment through text. While display rules for emotions exist and are widely accepted for interaction in traditional face-to-face communication, web users are not necessarily prepared for effectively dealing with the social media barriers to non-verbal communication. Thus, the design of systems and mechanisms for the development of emotional awareness between communicators is an important technical and social challenge for research related to computer-supported collaboration and social computing.
As a consequence, a recent research trend has emerged to study the role of affect in the social programmer ecosystem, by applying sentiment analysis to the content available in sites such as GitHub and Stack Overflow, as well as in other asynchronous communication artifacts such as comments in issue tracking systems. This talk surveys the state-of-the-art in sentiment analysis tools and examines to what extent they are able to detect affective expressions in communication traces left by software developers. A discussion is offered about the advantages and limitations of choosing sentiment polarity and strength as an appropriate way to operationalize affective states in empirical studies. Finally, open challenges and opportunities of affective software engineering are discussed, with special focus on the need to combine cognitive emotion modeling with affective computing and natural language processing techniques to build large-scale, robust approaches for sentiment detection in software engineering.
It is impossible to separate the human factors from software engineering expertise during
software development, because software is developed by people and for people. The intangible
nature of software has made it a difficult product to successfully create, and an examination of
the many reasons for major software system failures show that the reasons for failures
eventually come down to human issues. Software developers, immersed as they are in the
technological aspect of the product, can quickly learn lessons from technological failures and
readily come up with solutions to avoid them in the future, yet they do not learn lessons from
human aspects in software engineering. Dealing with human errors is much more difficult for
developers and often this aspect is overlooked in the evaluation process as developers move on
to issues that they are more comfortable solving. A major reason for this oversight is that
software psychology (the softer side) has not developed as extensively
Survey on adverse influencing factors in the way of successful requirement en...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Designing Motivation Strategies for Software Engineering Teams: an Empirical Study
A. César C. França, Fabio Q. B. da Silva
Abstract-Background. Even though the amount of researches related to the behavior of software development teams has significantly increased in recent years, researches focusing on motivation as an alternative to lead software projects to success are still rare. Objective/Method: This article describes a survey conducted to identify the relative importance of some factors that affect the motivation of software engineers at work. The conceptual underpinnings of human motivation used in the research are the Expectancy Theory and the Motivation-Hygiene Theory. Results/Conclusion: In the study, a cross-sectional survey was conducted involving 176 software engineers employed at 20 software firms from the State of Pernambuco, Brazil. Data collected with the survey revealed not only the order in which the set of motivators influences the software engineers motivation and other peripheral findings, but also served as a basis to design three motivation strategies for software engineering teams.
Paper presented at the Cooperative and Human Aspects of Software Engineering, Cape Town, 2010.
http://www.haseresearch.com
Computers have transformed our lives; they have changed the way the humans perceive and interact with the world; however, computers do not act by their own, all of them require of commands to work, called software. Creating software requires trained and specialized personnel in the field, such as Managers, which must have skills that allow them to successfully coordinate the development of projects. This research aims to show the abilities that senior management has and which of these are more frequently exhibit in companies that develop automotive embedded software in Mexico, all this in the opinion of the Project Leaders.
Impact of Stress on Software Engineers Knowledge Sharing and Creativity [A Pa...ijcnes
Software development involves technology as well as human efforts. Software engineering is supportive to create a quality of product by adopting the process of sharing knowledge. A lot of research was conducted on the technical side but human side of software development disregarded. Knowledge and creativity considered major factors for improving the software quality. Currently professionals working in the field of software engineering are under impressive pressure which cause stress for the Software engineers. It is highly desirable to conduct an empirical study on impact of stress on software engineers knowledge sharing & creativity. The major motivation for this study is to investigate the impact of job stress factors which can affect the software engineering knowledge sharing capabilities and creativity. The research is based on industrial assessment. For conducting this study we developed a questionnaire based on Stress Factors. Statistical analyses are performed through SPSS tool. On the basis of the results from the survey, we proposed some strategies for those factors that have high impact on software engineers and try to mitigate their affect. These results highlight stress factors and their impact on software engineers knowledge sharing and creativity, working in Pakistani software industry.
Agile Development in Large-Scale: Challenges and Insight from ResearchTorgeir Dingsøyr
Keynote at the SPA Software in Practice, London, 26 June 2019.
Agile methods were aimed at small, co-located teams developing non-critical software products. The success of these methods for small teams have led to use in projects with tens of teams and hundreds of developers. Are agile methods suited in this new context? What fundamental assumptions in agile methods become challenging with scale? What can we learn from prior studies on key areas such as managing uncertainty, coordination, sharing knowledge, self management and tailoring of development method?
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Risk and Engineering Knowledge Integration in Cyber-physical Production Syste...SEAA 2022
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Kristof Meixner 1,2
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Elmar Kiesling 4
Stefan Biffl 1,3
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2 CDL SQI TU Wien
3 CDP Wien
4 IDPKM WU Wien
5 OvGU Magdeburg
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This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
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11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
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z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
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A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
On the Role of Personality Traits in Implementation Tasks: A Preliminary Investigation with Students
1. On the Role of Personality Traits in
Implementation Tasks: A Preliminary
Investigation with Students
Simone Romano, Giuseppe Scanniello, and Pancrazio Dionisio
13. Peopleware is
clearly of interest
because the human
factor in software
development is of
primary importance
14. - The human component is an essential part of design and
development
- Development is based on creativity and the ingenuity of
people
- The effectiveness of tools and approaches strongly
depends on the human component
- Software engineering presents many similarities with
social sciences and psychology
15. People sometimes
struggle to remember
that we’re dealing with
creatures of logic and
emotions, not just ones
and zeros
16. Software engineering (and development)
is essentially a human activity, NOT just a
technical matter of technology
17. As many software managers can attest, major failures in
software projects eventually come down to people.
The study of human factors in software engineering will
offer different insights and fresh approaches to answering
many open questions
Diversity of people and ideas are good for our field
18. “Because of the
complex nature of the
programming task, the
programmer ’s
personality—his
individuality and
identity—are far more
important factors in his
success than is usually
recognized.”
19. “Personality variables
play a critical role in
determining interaction
among programmers
and in the work style of
individual
programmers.”
20. Only a few studies on the effect
of personality on software
engineering tasks
The data extracted from 90
studies indicated that pair
programming and team
building were among the most
recurring research topics
The influence of developers’
personality on individual
performance less studied
23. Analyze personality traits (i.e., openness, conscientious- ness,
extraversion, agreeableness, and neuroticism) for the purpose of
studying their correlation with respect to developers’ productivity
and the internal quality of developed programs from the point of
view of researchers and practitioners in the context of
undergraduate students in CS and implementation tasks in Java.
24. RQ1: Are personality traits
correlated with the
productivity of developers
when implementing Java
programs?
RQ2: Are personality traits
correlated with the internal
quality of Java programs
developers implement?
25. • Participants: 30 (last-year) bachelor students in
Computer Science @UniBas
• IPIP-NEO-120 questionnaire to measure
personality traits
• Bowling Score Keeper
26.
27. We could not show that personality traits are
significantly correlated with the productivity
of developers when implementing Java
programs
28. Some personality traits (i.e., conscientiousness,
extraversion, and neuroticism) are significantly
correlated with software quality