Confirming Distortional Behaviors in Software Cost Estimation Practice

Magazinius, Ana; Feldt, Robert

doi:10.1109/seaa.2011.61

Cited by 8 publications

(6 citation statements)

References 22 publications

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“…Magazinius & Feldt () compared Agile with non‐Agile companies and found that the accomplishment of objectives such as meeting time and budget goals, and the causes of failures is not dramatically different between the two types of organizations. This suggests the need for more and better investigations of the effects of using Agile.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Some preliminary results provide evidence of some issues related to managing effective co-ordination and control of information in global software projects applying Agile software development (Dingsøyr & Smite, 2014). Magazinius & Feldt (2011) compared Agile with non-Agile companies and found that the accomplishment of objectives such as meeting time and budget goals, and the causes of failures is not dramatically different between the two types of organizations. This suggests the need for more and better investigations of the effects of using Agile.…”

Section: Agile Literature Reviewmentioning

confidence: 99%

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Social Conduct, Learning and Innovation: An Abductive Study of the Dark Side of Agile Software Development

et al. 2016

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Agile methodologies have been adopted by an increasing number of organizations to improve their responsiveness. However, few studies have empirically analysed the effect of Agile on long‐term organizational goals such as learning and innovation. Using an abductive approach, this study examines the relationships between self‐regulated teams' social conduct and their resulting learning and innovation. Results indicate that the time pressure induced by the implementation of Agile impedes team engagement in learning and innovation activities. Time pressure is affected by a set of different control strategies, more specifically concertive, belief, diagnostic and boundary controls, and these need to be adequately addressed in order to minimize the potential dark side of Agile.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Agile Literature Reviewmentioning

confidence: 99%

Social Conduct, Learning and Innovation: An Abductive Study of the Dark Side of Agile Software Development

et al. 2016

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“…The perception of the frequency of lying in software project time predictions varied greatly, from very low (0-10%) to very high (90-100%). Another study of IT professionals found that time prediction distortions, which, in this context, are more or less the same as deception or lying, seldom happened [40]. However, instances in which management required too low time predictions, with no argument on how to reduce the time usage, were believed to be common.…”

Section: Deceptionmentioning

confidence: 99%

Overoptimistic Predictions

Halkjelsvik¹,

Jørgensen²

2018

Time Predictions

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We usually say that a time prediction is overoptimistic when the actual time usage is greater than the predicted time usage. This does not mean that an optimistic or overoptimistic view on time usage was the cause of the too low time prediction. Lack of knowledge, miscalculation during the prediction process, and bad luck in the execution of the project are examples of alternative reasons for too low time predictions. Describing too low, or overoptimistic, time predictions as caused by overoptimism, in the rose-coloured glasses sense, not only is incorrect but may also stop us from seeking other explanations of time overrun besides overoptimism [1]. To clarify the differences between being optimistic or overoptimistic and making optimistic time predictions, let us start by looking into the concepts of optimism and overoptimism. The Oxford English Dictionary describes optimism as 'hopefulness and confidence about the future or the success of something' [2]. If optimism is expecting things to go well, which they sometimes do, we may use the word overoptimism when the expected positive outcome is unwarranted, for instance, due to thinking too highly about one's own skill and likelihood of success. If Patricia is an average chess player but rates her chess skill too highly and predicts that she will win a chess tournament where she is far from the best player, she is overoptimistic. Even if it is very unlikely that Patricia will earn first place in the tournament, it is still possible that she will be extremely lucky and win and, consequently, gave a correct prediction. Overoptimism, as we use the term here, does not always lead to overoptimistic predictions. People tend to be overoptimistic about many things. Married people predict a too low likelihood of getting divorced, car drivers think too highly of their driving skills, and students tend to believe they will obtain better grades on exams than they

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“…Investigadores han sostenido que las CLC tienen consecuencias negativas significativas en la eficacia en general y en el desarrollo de la organización. La literatura destaca entre las principales consecuencias, los costos en los que las empresas incurren al exponerse a una disminución en la eficacia para el cumplimiento de objetivos a consecuencia de semejantes conductas (Fine, 2012;Magazinius & Feldt, 2011). Por un lado, Bourke (1994) maneja evidencia en donde se reporta que solamente la conducta de robo en el lugar del trabajo les cuesta a las organizaciones entre 10 y 120 billones de dólares anualmente.…”

Section: Conductas Laborales Contraproducentesunclassified

Inteligencia emocional y conductas desviadas: Metaanálisis de Inteligencia Emocional y su relación con las Conductas Laborales Contraproducentes

Quiroga-Garza

Leija

2017

Rev. Interam. Psicol. Ocup.

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Resumen Los factores que inciden en las conductas laborales contraproducentes (CLC) dentro de las empresas han sido abordados previamente en la literatura especializada, sin embargo, poco se ha hablado sobre el papel que juega la inteligencia emocional (IE) en su manifestación. El presente estudio emplea la literatura existente (k = 10, n = 2731) y los procesos del metaanálisis para obtener las mejores estimaciones de la magnitud del efecto de la relación entre IE y las CLC. Los resultados del análisis mostraron que existe una magnitud del efecto de significancia media-alta (r = .348) en la relación negativa entre los constructos. Las implicaciones de los resultados se inclinan hacia lo importante que puede resultar para las empresas el contratar empleados que presenten altos niveles de IE con el fin de mitigar los efectos nocivos de las CLC.

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Confirming Distortional Behaviors in Software Cost Estimation Practice

Cited by 8 publications

References 22 publications

Social Conduct, Learning and Innovation: An Abductive Study of the Dark Side of Agile Software Development

Social Conduct, Learning and Innovation: An Abductive Study of the Dark Side of Agile Software Development

Overoptimistic Predictions

Inteligencia emocional y conductas desviadas: Metaanálisis de Inteligencia Emocional y su relación con las Conductas Laborales Contraproducentes

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