There is a trend of researchers and practitioners to directly apply pre-trained models to solve
their specific tasks. For example, researchers in software engineering (SE) have …

Effort estimations are a crucial aspect of software development. The tasks should be
completed before the start of any software project. Accurate estimations increase the …

Reflecting upon recent advances in Natural Language Processing (NLP), this paper
evaluates the effectiveness of context-aware NLP models for predicting software task effort …

Software effort estimation has long been an important task for better software management.
Most of the constructed effort estimation models were based on data collected from software …

Reliable effort estimation is of paramount importance to software planning and
management, especially in industry that requires effective and on-time delivery. Although …

One of the main reasons that hinders making software effort estimation remains a most of the
unresolved problem due to the heterogeneous nature of software data with complex …

The success of software projects is closely linked to accurate effort estimation, driving
continuous efforts by researchers to refine estimation methods. Among various techniques …

Background: Estimating the effort required for software engineering tasks is incredibly tricky,
but it is critical for project planning. Issue reports are frequently used in the agile community …

The application of Natural Language Processing (NLP) has achieved a high level of
relevance in several areas. In the field of software engineering (SE), NLP applications are …

CONTEXT: Recent studies on story point estimation used deep learning-based language
models. These language models were pre-trained on general corpora. However, using …