This dataset contains subject-level (participant-averaged) transcranial magnetic stimulation (TMS) outcome measures from 20 healthy, non-musician adult participants in a within-subject crossover study examining the effects of unmodified (Control Music, CM) versus acoustically structured (Structured Music, SM) music on motor cortex excitability and sensorimotor integration. Each participant completed two experimental sessions (CM and SM, order counterbalanced by sequential enrollment number), separated by a minimum 24-hour washout period. Within each session, TMS measures were recorded at three time points: T0 (baseline, before music onset), T1 (during music listening), and T2 (post-music). The workbook is organized into six sheets, one per Session × Time combination (Kt0, Kt1, Kt2 = Control session at T0/T1/T2; Yt0, Yt1, Yt2 = Structured session at T0/T1/T2). Each sheet contains one row per participant (identified by anonymized numeric ID) and the following subject-level averaged values: Short-latency afferent inhibition (SAI) at 20, 22, and 24 ms interstimulus intervals, expressed as percentage inhibition/facilitation Test-alone (unconditioned) motor evoked potential (MEP) amplitude (mV), which also served as the study's global MEP amplitude measure Cortical silent period (CSP) duration (ms) Values represent within-participant averages across trials (20 trials per SAI/test-alone condition; 10 recordings per CSP measurement), consistent with the methods reported in the associated manuscript. Data were acquired using a Duomag MP stimulator with a 70 mm figure-eight coil (Deymed, DuoMAG) and recorded via Cambridge Electronic Design (CED) 1401 hardware with Signal 8.0 software. Peripheral electrical stimulation for the SAI paradigm was delivered to the median nerve at the wrist. These data support the linear mixed-effects and generalized linear mixed model analyses reported in the associated manuscript. Participant identifiers have been anonymized (numeric ID only); no directly identifying information is included. Keywords: transcranial magnetic stimulation; motor evoked potential; cortical silent period; short-latency afferent inhibition; music; sensorimotor integration
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
O. Salo, P. Abrahamsson· IET Software· 238 citations· ⚡9
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
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