How smells affect the system

[DungLai]

Smells do affect systems (cite)

Identify new code smells that could affect MLOps

Approach:

1. Analyse code change history
2. Taxonomy of important code smells based on the history. Rank this and use interview to evaluate it

Objective:

1. Saving cost
2. Saving time to deloy
3. Avoid faults in production

[anjsimmo]

Group 1 had a similar discussion in #4, but proposed a different approach to answering this question

Approach:

1. Tie code smells to the qualities that (grey) literature speculates they should improve. E.g. Reproducibility, Performance, *ilities - definition of stakeholders, hard to make concrete.
2. Perform empirical study to see if the code smell actually improves that ability.

Scope:

• Are the code smells (proposed in software engineering literature) relevant to machine learning projects?

Example:

• Does commented out code impact readability of the source code?

The advantage of this approach is that we can directly test the qualities that the code smell is meant to impact, rather than cost/time which we would only expect to be indirectly effected.