Ranked Research Questions
Each question is a structured object derived from the corpus's gaps, contradictions, and silences. Ranked by a weighted score of scientific leverage, knowledge gap, importance, feasibility, and evidence density. Arrows show dependency: a question rests on what must be answered first.
q1boundaryhighscore 0.787
What is the definitive operational scope of Crowd-based Requirements Engineering: is it fundamentally limited to Elicitation, Analysis, and Validation, or does it intrinsically encompass Evolution and Prioritization as core paradigm activities?
leverage 0.85gap 0.80importance 0.90feasibility 0.70evidence 0.60grounded in: contradiction
q8optimizationhighscore 0.76
What are the comparative performance metrics (precision, recall, F1, accuracy) of SVM, C4.5 Decision Tree, and Naive Bayes algorithms when applied to user feedback classification in requirements engineering contexts?
leverage 0.80gap 0.90importance 0.85feasibility 0.70evidence 0.40grounded in: silence
q4causalhighscore 0.75
How does crowd-sourced requirements data quantitatively feed into, train, and validate machine learning-based user feedback classification models such as SVM, C4.5 Decision Tree, and Naive Bayes?
leverage 0.85gap 0.95importance 0.90feasibility 0.50evidence 0.30grounded in: gap
q3mechanistichighscore 0.745
What is the explicit operational workflow and interaction mechanism between the Crowd, Task, and Mechanism utilities during requirements elicitation and validation phases?
leverage 0.80gap 0.90importance 0.85feasibility 0.60evidence 0.40grounded in: gap
depends on: q1
q13optimizationhighscore 0.743
What standardized replication and reproducibility protocols should be adopted for empirical CrowdRE studies to ensure cross-study comparability and cumulative scientific progress?
leverage 0.75gap 0.80importance 0.80feasibility 0.70evidence 0.60grounded in: silence
q10causalhighscore 0.733
What is the longitudinal impact of CrowdRE interventions on the software development lifecycle, and do benefits observed during early elicitation persist through implementation, testing, and maintenance phases?
leverage 0.90gap 0.95importance 0.90feasibility 0.40evidence 0.20grounded in: silence
q11boundaryhighscore 0.732
What ethical frameworks and governance protocols are necessary to conduct crowd-based requirements elicitation without exploiting micro-task workers or compromising stakeholder data privacy?
leverage 0.70gap 0.80importance 0.85feasibility 0.75evidence 0.50grounded in: silence
q9boundaryhighscore 0.725
What participant demographics, skill thresholds, and crowd worker selection criteria reliably ensure high-quality, domain-relevant requirements contributions in CrowdRE initiatives?
leverage 0.75gap 0.85importance 0.80feasibility 0.65evidence 0.45grounded in: silence
depends on: q11
q5optimizationhighscore 0.717
What specific design controls and mitigation strategies effectively address internal, external, construct, and reliability threats in empirical CrowdRE studies?
leverage 0.70gap 0.85importance 0.75feasibility 0.70evidence 0.50grounded in: gap
depends on: q13
q12mechanistichighscore 0.68
What specific datasets, annotation schemas, and preprocessing pipelines are required to achieve reproducible ML-based user feedback classification in requirements engineering?
leverage 0.65gap 0.85importance 0.70feasibility 0.80evidence 0.30grounded in: silence
depends on: q8
q6mechanisticmediumscore 0.638
What is the integration mechanism between multimodal artifacts (e.g., video/ReqVidA and textual minutes) in requirements communication, and how do their comparative efficacy metrics differ across elicitation tasks?
leverage 0.65gap 0.80importance 0.70feasibility 0.55evidence 0.35grounded in: gap
depends on: q3
q7mechanisticmediumscore 0.605
Why does empirical RE literature exhibit a methodological tendency to bury research findings within narrative text rather than stating them explicitly, and what are the downstream consequences for systematic knowledge retrieval and meta-analysis?
leverage 0.40gap 0.60importance 0.50feasibility 0.90evidence 0.80grounded in: gap
depends on: q13
q2mechanisticmediumscore 0.595
Should empirical CrowdRE studies adopt an exploratory or explanatory research paradigm, and how does this methodological choice affect the external validity and generalizability of elicitation findings?
leverage 0.50gap 0.50importance 0.60feasibility 0.80evidence 0.70grounded in: contradiction
depends on: q1