Sprint Zeal or Sprint Fatigue? The Benefits and Burdens of Agile ISD Practices Use for Developer Well-Being

Are agile information systems development practices (AISDPs), such as pair programming or daily stand-ups, universally beneficial to developer well-being? Given that agile information systems development project success is only as good as its developers’ productiveness, taking care of developer well-being is of utmost importance to organizations. Using daily survey responses of 131 agile developers spread over two workweeks, we show that the daily use of AISDP is a double-edged sword rather than a silver bullet. Although AISDPs can be motivating and activate energy resources on some days, they can be disturbing and deplete energy on others—two stress responses with opposing effects on developer well-being. As a potential antidote to the detrimental effects of AISDP, we investigate the moderating role of information technology (IT) mindfulness, a dynamic trait that captures the mindful usage of IT. We find that IT mindfulness can serve as a facilitator of positive stress responses and as a buffer against negative stress responses. A key takeaway of this study is in finding ways to influence developers (via awareness programs, time-sensitive recovery interventions, or mindfulness practices) to increase the functional and decrease the dysfunctional stress responses from daily AISDP use.

Study of plant height as a dynamic trait by multistage phenotyping in chickpea under heat stress identifies common as well as stage specific marker–trait associations

Plant height in chickpea is a multivariate, dynamic trait, and shows differences in growth rate at different stages of plant development in different genotypes. In the majority of plant-breeding experiments, the phenotypic data on a quantitative trait measured at a fixed time point (generally at maturity) are used for quantitative trait loci (QTL) mapping. However, this method can result in missing important/major QTLs which are expressed at different time points and are not expressed at maturity. In the current study, using a set of 49 desi chickpea genotypes sown at three different durations for two successive years, we observed that heritability for plant height was highest at the 2 month stage in the normal sown trial, and at the 1 month stage in late-sown trials. However, heritability drastically declines at maturity, particularly due to heat stress with an increase in temperatures during the growing period. In the association analysis, it was also observed that almost all the marker–trait associations (MTAs) identified using endpoint phenotypes were identified using data obtained at different intervals. In addition, some novel and stage-specific MTAs were identified using phenotypic data recorded at monthly intervals. The results highlight the importance of multistage phenotyping for dynamic traits like plant height in germplasm characterization programmes.

Testing explanatory models of the interplay between depression, neuroticism, and stressful life events: a dynamic trait-stress generation approach

BackgroundClassic conceptual frameworks explaining the relationship of personality traits to depression include the precursor and predisposition models. The former hypothesizes that depression is predicted by traits alone whereas the latter hypothesizes that stress, together with personality, predicts depression. Dynamic vulnerability models (DVM) expand on these perspectives by incorporating fluctuations in personality over time. The stress generation model provides an alternative view, positing that depression generates stress, creating a self-perpetuating cycle. However, these conceptual models are rarely directly compared.MethodWe tested these models, focusing on neuroticism and stressful life events that the participant may have contributed to, using path analysis in a sample of 550 never-depressed, adolescent females assessed five times over 3 years.ResultsA dynamic precursor model with stress generation was best supported. For the precursor component, neuroticism predicted subsequent depression across four assessment intervals. For the dynamic trait component, stressful life events predicted subsequent neuroticism at three of four intervals. Finally, in line with stress generation, depression consistently predicted subsequent stressful life events, and life events then predicted depression.ConclusionsFinding support for the DVM is noteworthy, as this is the first comprehensive test of this model. Moreover, results supported integrating stress generation with trait vulnerability. Continued use of integrated approaches and refining the statistical implementation of these theories is necessary to advance understanding of the development of depression.

Trait Structure of the Fish Community

This chapter calculates the abundance (or biomass) of all species in a community as a function of their asymptotic size. It develops a purely analytical theory of the asymptotic size trait distribution in a fish community. The theory is based upon the Sheldon community spectrum developed in Chapter 2, and the new theory is used here to formulate an “extended” Sheldon conjecture. The analytic theory describes only a steady-state solution, which is of limited use for impact assessments of fishing; that requires a dynamic trait-based size spectrum model, which is next developed. To conclude, the chapter demonstrates how the trait-based model can be extended to model specific stocks embedded in a food web.